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Free Download Projects in React Native - Learn By Building Real World Apps (2024) Published 10/2024 Created by Md Alishan Ali MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lectures ( 7h 39m ) | Size: 5.33 GB Build a complete eCommerce app using React Native! Master real-world projects, components, and app deployment essentials What you'll learn Build android and iOS e-commerce app using React Native React Native basics and advanced knowledge React Native Navigation (Bottom Tab Navigation and Nested Navigation) Global State Management Using Use Context Hook Learn to Design Any Kind of Apps Requirements Basic Understanding of Javascript Description Are you ready to become a React Native expert by working on real-world projects? In this course, you will dive deep into mobile app development by building a complete eCommerce app using React Native. Whether you're a beginner or have some experience with React Native, this course will guide you through the entire process of building a modern, functional mobile app.What You Will Learn:How to set up a React Native project from scratch.Creating beautiful user interfaces with React Native components.Working with state management and API integration.Implementing navigation and managing routes effectively.Handling user interactions and feedback using advanced form handling techniques.Styling the app with modern tools to ensure a seamless, attractive experience.Additionally, you'll learn best practices for optimizing app performance and improving user experience.This course will walk you through the core aspects of app development that will be useful across various real-world projects. By the end of this course, you'll have hands-on experience building an eCommerce app, which you can use to showcase your skills to potential employers or clients.If you've ever wanted to master mobile app development using React Native, this is the perfect course to get started. Enroll now and start building! Who this course is for React Native beginners to advanced learners. Homepage https://www.udemy.com/course/projects-in-react-native-learn-by-building-real-world-apps-h/ Screenshot Rapidgator https://rg.to/file/1ff09d1313503c65f5f54c6f808fc373/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part4.rar.html https://rg.to/file/20c7c39ea99db615dc7c33a681befd15/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part5.rar.html https://rg.to/file/32f2706e7e83323fbc36d298e0afe2f2/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part6.rar.html https://rg.to/file/5faf6b2521f2068ddd76716cc647b65e/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part2.rar.html https://rg.to/file/82a98a3f83a4491dace99b04b0b9865f/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part1.rar.html https://rg.to/file/ea45b91a91400d3fed23b053863a10b7/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part3.rar.html Fikper Free Download https://fikper.com/Aa6hozParu/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part3.rar.html https://fikper.com/Fhc4yYN8lr/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part6.rar.html https://fikper.com/Oaxe8pWbl2/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part2.rar.html https://fikper.com/aNzAVa8hXN/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part4.rar.html https://fikper.com/tgjKN7glN8/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part5.rar.html https://fikper.com/xsxXpyYS5x/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part1.rar.html No Password - Links are Interchangeable

Free Download Ms Projects From Basics To Advanced Project Planning Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.99 GB | Duration: 3h 14m Learn to efficiently manage projects with Microsoft Project, mastering task entries, resource allocation. What you'll learn Introduction to MS Projects: Overview of the software and its uses in project management. Basics of MS Projects: Understanding task entries, summary tasks, and duration. Task Management: How to interlink activities and assign resources to tasks. Project Tracking: Techniques to monitor project progress effectively. Reports and Documentation: Creating, customizing, and printing reports. Data Entry and Scheduling: Working with Gantt charts, creating new project plans, and managing both auto and manual scheduling. Practical Examples: Application of project management principles through real-world examples like furniture projects and conference planning. Requirements Basic Computer Skills: Familiarity with navigating and using computer software. Understanding of Project Management Concepts: Basic knowledge of project management terms and workflows (e.g., tasks, resources, timelines) is beneficial but not mandatory. Access to MS Project Software: Students should have Microsoft Project installed on their computer to practice and follow along with the lessons. Description The Mastering MS Projects course is designed to help you become proficient in managing projects using Microsoft Project. Whether you're new to project management or looking to refine your skills, this course covers everything from the basics of task entries to advanced project tracking and reporting. You will gain hands-on experience in using MS Project's powerful features to streamline project execution and ensure success.Section 1: IntroductionIn this section, you will be introduced to Microsoft Projects (MS Projects) and understand why it is an essential tool for project managers. The first lecture provides an overview of MS Projects, setting the stage for a deeper exploration of its functionalities.Section 2: Basic MS ProjectsThis section delves into the basics of MS Projects. You will start by learning how to create task entries and manage summary tasks. The lectures also cover key concepts such as project duration, interlinking activities, and assigning resources to tasks. By the end of this section, you'll have a solid understanding of how to structure your project in MS Projects, track its progress, and generate reports.Section 3: Data Entry in MS ProjectsBuilding on the foundational knowledge, this section focuses on practical data entry techniques within MS Projects. You will learn how to work with Gantt charts, create new project plans, and switch between manual and auto scheduling modes. Real-world examples, such as managing furniture work and conference projects, will help you apply what you've learned in practical scenarios. Additionally, you will explore how to adjust working tables and utilize notes to enhance project management.Conclusion:By the end of this course, you will have gained comprehensive knowledge and practical skills in using MS Projects to manage complex tasks, assign resources effectively, track progress, and produce detailed project reports. Whether you're managing small or large-scale projects, the skills acquired in this course will help you optimize project performance and ensure timely completion. Overview Section 1: Introduction Lecture 1 Introduction to MS Projects Section 2: Basic M S Projects Lecture 2 Basics in MS Projects Lecture 3 Basics in MS Projects Continue Lecture 4 Task Entries Lecture 5 Summary Task Lecture 6 Duration Lecture 7 Interlink Activities Lecture 8 Assign Resource Lecture 9 Assign Resource Continue Lecture 10 Resource Assigned to Task Lecture 11 Project Tracking Lecture 12 Reports and Print Out Lecture 13 Reports and Print Out Continue Section 3: Data Entry in MS Projects Lecture 14 Working on MS Project Software Lecture 15 Use to Gannt Chat Lecture 16 Create New Project Plan Lecture 17 Changing Working Table Lecture 18 Manually Schedule Lecture 19 Note Section Lecture 20 Example of Furniture Work Lecture 21 Auto Schedule Lecture 22 Conference Project Project Managers: Professionals looking to streamline project planning, tracking, and reporting.,Team Leaders: Those responsible for assigning tasks and managing resources within projects.,Business Analysts: Individuals who need to monitor project progress and generate reports.,Students of Project Management: Anyone studying project management who wants hands-on experience with MS Project software.,Beginners to MS Project: People with little or no experience with MS Project, looking to gain foundational skills.,IT Professionals: Those involved in managing or supporting projects within a technical environment. 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Free Download Mastering Canva Through Real Projects From Beginner to Pro Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 55m | Size: 1.11 GB Turn Creativity into Cash! What you'll learn Introduction and Getting Started of Canva Logo Design for Businesses Thumbnails Design Course Banner Design Book Cover Design and Mockups News Card design T-shirt design Business Card Design CV/Resume Design Creating Professional Presentations Using Canva for Video Editing Requirements No prior experience needed. You can start this course with Basic Computer Skills. Description Unlock your creative potential with "Mastering Canva Through Real Projects"-a beginner-friendly course designed for anyone who wants to learn graphic design and earn money with their skills. No prior experience is needed! Through hands-on projects, you'll learn how to Logo Design for BusinessesThumbnails DesignCourse Banner DesignBook Cover Design and MockupsNews Card designT-shirt designBusiness Card DesignCV/Resume DesignCreating Professional PresentationsCanva for Video Editingusing Canva's simple yet powerful tools. Whether you're looking to offer freelance design services, create digital products to sell, or start a side hustle, this course will guide you from start to finish. By the end of this course, you'll have a strong foundation in graphic design and the confidence to offer your services on platforms like Fiverr and Upwork, sell digital products on Etsy or Creative Market, or create branded assets for your own business. Whether you're an aspiring freelancer, small business owner, or someone simply looking to boost their creativity, this course will provide you with all the tools and practical projects needed to succeed.Enroll now and take your first step towards mastering Canva and turning your creativity into a profitable career!See You in the class. Who this course is for This course is for those who want to learn graphic design and start earning money with their skills. Homepage https://www.udemy.com/course/mastering-canva-through-real-projects-from-beginner-to-pro/ Screenshot Rapidgator https://rg.to/file/635ed626e4eba4ec4ad3f36d5060d907/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part1.rar.html https://rg.to/file/a714f9e0bdc7472842fccb5c4e2b40ae/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part2.rar.html Fikper Free Download https://fikper.com/fTkngs9NRq/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part1.rar.html https://fikper.com/oiLoZA83rt/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part2.rar.html No Password - Links are Interchangeable

Free Download MQL5 PROJECTS - Code A Candlestick Patterns Trading Strategy Published 10/2024 Created by Latvian Trading Solutions MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18 Lectures ( 3h 5m ) | Size: 1.51 GB A concise guide in developing a candlestick patterns strategy using the MQL5 language What you'll learn How to code an algorithm that identifies reversal candlestick patterns How to generate a trading strategy based on pure price action How to employ complex trade management principles to get an edge in the market How to create risk management protocols for a complex EA Requirements MQL5 basics Description In the financial markets, every tick of price movement weaves a new narrative. A beautiful story entailing the actions of all market parti[beeep]nts. Their ambitions, their desires, their fears and their greed. This story is known as Price action. It's written for all traders to see, but only a few are willing to read and understand it. Price action is the language spoken by the market, a symphony of supply and demand that unfolds in real time. Candlesticks, in essence, are merely visual representations of this underlying price action. By studying the interplay of buyers and sellers as reflected in the candlesticks, traders can discern patterns and make informed decisions.Candlesticks are the footsteps left behind by market parti[beeep]nts. Each candlestick tells a story, revealing the emotions, strategies, and intentions of those involved. A long green candlestick, for example, suggests that buyers were more aggressive than sellers, while a short red candle indicates the opposite. By studying the patterns formed by these footsteps, traders can gain a deeper understanding of market psychology and anti[beeep]te potential turning points.Reversal candlesticks possess a unique power to capture the essence of market turning points. When a reversal candlestick appears at a significant support or resistance level, it can signal a potential shift in market momentum. Candlestick patterns may not be sufficient to initiate a trade, but when it aligns with other supporting factors, it can provide a high-probability setup.In this course, our aim is to build an expert advisor that identifies candlestick patterns and takes trades based on them using the MQL5 language. We shall use unique and complex trade management principles to ensure that we reduce risk increase profitability. For those that are still finding their way with MQL5, as long as you understand the basics of MQL5, this course is for you. We will patiently guide you through every step of the strategy development process and walk you through every line of code we shall craft. Hopefully, by the end of the course, you will have gained the necessary skills to code similar trading strategies and be able to appreciate how candlestick patterns can be an asset in developing your own trading ideas based on the ideas that shared in this course.So hit hard on that enroll button now and join me in this incredible journey of coding a candlestick pattern based expert advisor using the mql5 algorithmic trading language. Who this course is for Anyone willing to learn how to code a candlestick patterns strategy based on the MQL5 language Homepage https://www.udemy.com/course/mql5-projects-code-a-candlestick-patterns-trading-strategy/ Screenshot Rapidgator https://rg.to/file/12a9b0923584ed7f560f51df8fdc0599/yauhh.MQL5.PROJECTS.Code.A.Candlestick.Patterns.Trading.Strategy.part1.rar.html https://rg.to/file/ddec7506c64a676d35677e16870faee5/yauhh.MQL5.PROJECTS.Code.A.Candlestick.Patterns.Trading.Strategy.part2.rar.html Fikper Free Download https://fikper.com/c8vGnY1UK8/yauhh.MQL5.PROJECTS.Code.A.Candlestick.Patterns.Trading.Strategy.part1.rar.html https://fikper.com/cfWZ7r68Qn/yauhh.MQL5.PROJECTS.Code.A.Candlestick.Patterns.Trading.Strategy.part2.rar.html No Password - Links are Interchangeable

Free Download Complete Mlops Bootcamp With 10+ End To End Ml Projects Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 50.09 GB | Duration: 47h 39m End-to-End MLOps Bootcamp: Build, Deploy, and Automate ML with Data Science Projects What you'll learn Build scalable MLOps pipelines with Git, Docker, and CI/CD integration. Implement MLFlow and DVC for model versioning and experiment tracking. Deploy end-to-end ML models with AWS SageMaker and Huggingface. Automate ETL pipelines and ML workflows using Apache Airflow and Astro. Monitor ML systems using Grafana and PostgreSQL for real-time insights. Requirements Basic understanding of Python programming. Familiarity with machine learning concepts and algorithms. Basic knowledge of Git and GitHub for version control. Understanding of Docker for containerization (optional but helpful). Awareness of cloud computing concepts (AWS preferred, but not mandatory). Description Welcome to the Complete MLOps Bootcamp With End to End Data Science Project, your one-stop guide to mastering MLOps from scratch! This course is designed to equip you with the skills and knowledge necessary to implement and automate the deployment, monitoring, and scaling of machine learning models using the latest MLOps tools and frameworks.In today's world, simply building machine learning models is not enough. To succeed as a data scientist, machine learning engineer, or DevOps professional, you need to understand how to take your models from development to production while ensuring scalability, reliability, and continuous monitoring. This is where MLOps (Machine Learning Operations) comes into play, combining the best practices of DevOps and ML model lifecycle management.This bootcamp will not only introduce you to the concepts of MLOps but will take you through real-world, hands-on data science projects. By the end of the course, you will be able to confidently build, deploy, and manage machine learning pipelines in production environments.What You'll Learn:Python Prerequisites: Brush up on essential Python programming skills needed for building data science and MLOps pipelines.Version Control with Git & GitHub: Understand how to manage code and collaborate on machine learning projects using Git and GitHub.Docker & Containerization: Learn the fundamentals of Docker and how to containerize your ML models for easy and scalable deployment.MLflow for Experiment Tracking: Master the use of MLFlow to track experiments, manage models, and seamlessly integrate with AWS Cloud for model management and deployment.DVC for Data Versioning: Learn Data Version Control (DVC) to manage datasets, models, and versioning efficiently, ensuring reproducibility in your ML pipelines.DagsHub for Collaborative MLOps: Utilize DagsHub for integrated tracking of your code, data, and ML experiments using Git and DVC.Apache Airflow with Astro: Automate and orchestrate your ML workflows using Airflow with Astronomer, ensuring your pipelines run seamlessly.CI/CD Pipeline with GitHub Actions: Implement a continuous integration/continuous deployment (CI/CD) pipeline to automate testing, model deployment, and updates.ETL Pipeline Implementation: Build and deploy complete ETL (Extract, Transform, Load) pipelines using Apache Airflow, integrating data sources for machine learning models.End-to-End Machine Learning Project: Walk through a full ML project from data collection to deployment, ensuring you understand how to apply MLOps in practice.End-to-End NLP Project with Huggingface: Work on a real-world NLP project, learning how to deploy and monitor transformer models using Huggingface tools.AWS SageMaker for ML Deployment: Learn how to deploy, scale, and monitor your models on AWS SageMaker, integrating seamlessly with other AWS services.Gen AI with AWS Cloud: Explore Generative AI techniques and learn how to deploy these models using AWS cloud infrastructure.Monitoring with Grafana & PostgreSQL: Monitor the performance of your models and pipelines using Grafana dashboards connected to PostgreSQL for real-time insights.Who is this Course For?Data Scientists and Machine Learning Engineers aiming to scale their ML models and automate deployments.DevOps professionals looking to integrate machine learning pipelines into production environments.Software Engineers transitioning into the MLOps domain.IT professionals interested in end-to-end deployment of machine learning models with real-world data science projects.Why Enroll?By enrolling in this course, you will gain hands-on experience with cutting-edge tools and techniques used in the industry today. Whether you're a data science professional or a beginner looking to expand your skill set, this course will guide you through real-world projects, ensuring you gain the practical knowledge needed to implement MLOps workflows successfully.Enroll now and take your data science skills to the next level with MLOps! Overview Section 1: Introduction Lecture 1 Introduction Section 2: IDE's And Code Editors You Can Use Lecture 2 Getting Started With Google Colab Lecture 3 Getting Started With Github Codespace Lecture 4 Anaconda And VS Code Installation Section 3: Python Prerequisites Lecture 5 Getting Started With VS Code And Environment Lecture 6 Python Basics-Syntax and Semantics Lecture 7 Variables In Python Lecture 8 Basics Data Types Lecture 9 Operators In Python Lecture 10 Conditional Statements In Python Lecture 11 Loops In Python Lecture 12 Practical Examples Of List Lecture 13 Sets In Python Lecture 14 Tuples In Python Lecture 15 Dictionaries In Python Lecture 16 Functions In Python Lecture 17 Python Function Examples Lecture 18 Lambda Functions In Python Lecture 19 Map functions In Python Lecture 20 Python Filter Function Lecture 21 Import Modules And Packages In Python Lecture 22 Standard Library Overview Lecture 23 File Operation In Python Lecture 24 Working With File Paths Lecture 25 Exception Handling In Python Lecture 26 OOPS In Python Lecture 27 Inheritance In Python Lecture 28 Polymorphism In Python Lecture 29 Encapsulation In Python Lecture 30 Abstraction In Python Lecture 31 Magic Methods In Python Lecture 32 Custom Exception In Python Lecture 33 Operator OverLoading In Python Lecture 34 Iterators In Python Lecture 35 Generators In Python Lecture 36 Decorators In Python Lecture 37 Working With Numpy In Python Lecture 38 Pandas DataFrame And Series Lecture 39 Data Manipulation And Analysis Lecture 40 Data Source Reading Lecture 41 Logging In Python Lecture 42 Logging With Multiple Loggers Lecture 43 Logging In a Real World Examples Section 4: Complete Flask Tutorial Lecture 44 Introduction To Flask Framework Lecture 45 Understanding A Sample Flask Application Lecture 46 Integrating HTML With Flask Framework Lecture 47 HTTP Verbs Get And Post Lecture 48 Building Dynamic Url With Jinja 2 Lecture 49 Put Delete And API's In Flask Section 5: Git and Github Lecture 50 Getting Started With Git And Github Lecture 51 Part 2- Git Merge,Push, Checkout And Log With Commands Lecture 52 Part 3- Resolving Git Branch Merge Conflict Section 6: Complete MLFLOW Tutorials Lecture 53 Introduction To MLFLOW Lecture 54 Getting Started With MLFLOW Lecture 55 Creating MLFLOW Environment Lecture 56 Getting Started With MLFLow Tracking Server Lecture 57 Deep Diving Into MLFlow Experiments Lecture 58 Getting Started With MLFlow ML Project Lecture 59 First ML Project With MLFLOW Lecture 60 Inferencing Model Artifacts With MLFlow Inferencing Lecture 61 MLFLOW Model Registry Tracking Section 7: ML Project Integration With MLFLOW Tracking Lecture 62 Data Preparation House Price Prediction Lecture 63 Model Building And MLFLOW Tracking Section 8: Deep Learning ANN Model Building Integration With MLFLOW Lecture 64 ANN With MLFLOW- Part 1 Lecture 65 ANN with MLFLOW-Part 2 Section 9: Getting Started With DVC- Data Version Control Lecture 66 Introduction To DVC With Practical Implementation Section 10: Getting Started With Dagshub Lecture 67 Introduction To Dagshub Remote Repository Lecture 68 Creating First Remote Repo Using Dagshub Lecture 69 DVC With Dagshub Remote Repository Section 11: End To End Machine Learning Pipeline Using GIT, DVC,MLFLOW And DAGSHUB Lecture 70 Getting Started With Project Structure Lecture 71 Implemeting Data Preprocessing Pipeline Lecture 72 Implementing Model Training Pipeline with MLFLOW Setup Lecture 73 MLFLOW Experiment Tracking In Dagshub Lecture 74 ML Evaluation Piepline With MLFLOW Lecture 75 Run The Complete Pipeline With DVC Stage And Repro Section 12: MLFLOW With AWS Cloud Lecture 76 Introduction To MLFLOW In AWS Lecture 77 MLFLOW Project Set Up With Installation Lecture 78 Implementing The End To End Project With MLFLOW Lecture 79 AWS Cloud EC2,IAM,S3 Bucket Set Up Lecture 80 AWS EC2 Instance- Setting MLFLOW Tracking Server Section 13: Complete Basic To Advance Dockers Lecture 81 Introduction To Docker Series Lecture 82 What are Dockers And Containers Lecture 83 Docker Images vs Containers Lecture 84 Dockers vs Virtual Machines Lecture 85 Dockers Installation Lecture 86 Creating A Docker Image Lecture 87 Docker Basic Commands Lecture 88 Push Docker Image To Docker Hub Lecture 89 Docker Compose Section 14: Getting Started With Airflow Lecture 90 Introduction To Apache Airflow Lecture 91 Key Components Of Apache Airflow Lecture 92 Why Airflow For MLOPS Lecture 93 Setting Up Airflow With Astro Lecture 94 Building Your First DAG With Airflow Lecture 95 Designing Mathematical Calculation DAG With Airflow Lecture 96 Getting Started With TaskFlow API Using Apache Airflow Section 15: Airflow ETL Pipeline with Postgres and API Integration In ASTRO Cloud And AWS Lecture 97 Introduction To ETL Pipeline Lecture 98 ETL Problem Statement And Project Structure Set Up Lecture 99 Defining ETL DAG With Implementing Steps Lecture 100 Step 1- Setting Up Postgres And Creating Table Task In Postgres Lecture 101 Step 2- NASA API Integration With Extract Pipeline Lecture 102 Step 3- Building Transformation And Load Pipeline Lecture 103 ETL Pipeline Final Implementation With AirFlow Connection Set Up Lecture 104 ETL Pipeline Deployment In Astro Cloud And AWS Section 16: Introduction To Github Actions Lecture 105 What is Github Action and CI CD Pipeline Lecture 106 What is Developers Workflow With Examples Lecture 107 Practicals-Automate Testing Workflow With Python Section 17: End To End Github Action Workflow Project With Dockerhub Lecture 108 Github Action Workflow Project with Docker hub Lecture 109 Setting Project Structure With Github Repo Lecture 110 Setting Up Github Repository Lecture 111 Implementing Project With Flask And Dockers Lecture 112 Building the Yaml file for Dockers Section 18: Getting Started With Your First End To End Data Science Project With Deployment Lecture 113 Project Structure, Github Repo And Environment Set Up Lecture 114 Custom Logging Implementation Lecture 115 Common Utilities Functions Implementation Lecture 116 Step By Step Building Data Ingestion Pipeline- Part 1 Lecture 117 Data Ingestion Pipeline-Part 2 Lecture 118 Complete Data Validation Pipeline Implementation Lecture 119 Complete Data Transformation Pipeline Implementation Lecture 120 Model Trainer Pipeline Implementation Lecture 121 Model Evaluation Pipeline Implementation Lecture 122 Training And Prediction Pipeline With Flask App Section 19: End To End MLOPS Projects With ETL Pipelines- Building Network Security System Lecture 123 Project Structure Set up With Environment Lecture 124 Github Repository Set Up With VS Code Lecture 125 Packaging the Project With Setup.py Lecture 126 Logging And Exception Handling Implementation Lecture 127 Introduction To ETL Pipelines Lecture 128 Setting Up MongoDb Atlas Lecture 129 ETL Pipeline Setup With Python Lecture 130 Data Ingestion Architecture Lecture 131 Implementing Data Ingestion Configuration Lecture 132 Implementing Data Ingestions Component Lecture 133 Implementing Data Validation-Part 1 Lecture 134 Implementing Data Validation- Part 2 Lecture 135 Data Transformation Architecture Lecture 136 Data Transformation Implementation Lecture 137 Model Trainer-Part 1 Lecture 138 Model Trainer And Evaluation With Hyperparameter Tuning Lecture 139 Model Experiment Tracker With MLFlow Lecture 140 MLFLOW Experiment Tracking With Remote Respository Dagshub Lecture 141 Model Pusher Implementation Lecture 142 Model Training Pipeline Implementation Lecture 143 Batch Prediction Pipeline Implementation Lecture 144 Final Model And Artifacts Pusher To AWS S3 buckets Lecture 145 Building Docker Image And Github Actions Lecture 146 Github Action-Docker Image Push to AWS ECR Repo Implementation Lecture 147 Final Deployment To EC2 instance Section 20: End To End DS Project Implementation With Mulitple AWS,Azure Deployment Lecture 148 Github And Code Setup Lecture 149 Project structure Logging And Exception Lecture 150 Project Problem Statement EDA And Model Training Lecture 151 Data Ingestion Implementation Lecture 152 Data Transformation Implementation Lecture 153 Model Trainer Implementation Lecture 154 Hyperparameter Tuning Implementation Lecture 155 Building Prediction Pipeline Lecture 156 Deployment AWS Beanstalk Lecture 157 Deployment In EC2 Instance Lecture 158 Deployment In Azure Web App Section 21: Build, Train ,Deploy And Create Endpoints For ML Project Using AWS Sagemaker Lecture 159 Introduction To AWS Sagemaker Amd Project Set up Lecture 160 EDA,AWS IAM, S3 Set up With Data Ingestion Lecture 161 Implementing Training Script For AWS Sagemaker Lecture 162 Training With An On Spot Instance In AWS Sagemaker Lecture 163 Deployment Of Endpoint With AWS Sagemaker And Inferencing Section 22: Grafana-Open Source Tool For Data Visualization And Monitoring Lecture 164 Introduction To Grafana Open Source Tool Lecture 165 Grafana Cloud Set Up And Problem Statement Lecture 166 Visualization Implementation With Grafana Cloud And Postgresql In AWS Section 23: Generative AI Series With AWS LLMOPS Lecture 167 LifeCycle Of Gen AI Projects In Cloud Lecture 168 Blog Generation Generative AI App Using AWS Lambda And Bedrock Lecture 169 Deployment Of HuggingFace LLM Model In AWS Sagemaker Lecture 170 End To End GENAI App Using NVIDIA NIM Data Scientists and Machine Learning Engineers looking to scale and deploy ML models.,DevOps professionals wanting to integrate ML pipelines.,Software Engineers interested in transitioning to MLOps.,Beginners with basic ML knowledge aiming to learn end-to-end deployment.,IT professionals eager to understand MLOps tools and practices for real-world projects. 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Free Download Build 5 Python Web Scraping Projects Beginner to Advanced Published 10/2024 Created by Emmanuel Momoh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 40 Lectures ( 4h 19m ) | Size: 2.24 GB Build 5 Web Scraping Projects with Python: Beginner to Advanced , BeautifulSoup, Scrapy, Selenium, API integration What you'll learn Learn how to scrape data from websites using Python libraries like BeautifulSoup and Playwright for static and dynamic content How to log in to a website using Playwright and scrape its content. Gain hands-on experience by creating five real-world web scraping projects, including price trackers, job scrapers, and data aggregators. Learn how to host scrapers and set up cron jobs to run automatically in the cloud. Requirements You should have basic Python knowledge, including using loops, conditional statements, and operators. Familiarity with data structures like lists, dictionaries, sets, and tuples is also required. Description In this course, "Build 5 Web Scraping Projects with Python: From Beginner to Advanced," you'll gain comprehensive knowledge on how to efficiently extract data from websites using Python. Whether you're just starting out or already have some experience with web scraping, this course is designed to enhance your skills through practical, hands-on projects. We will use powerful libraries like BeautifulSoup for parsing HTML, Requests for handling HTTP requests, and Playwright for interacting with dynamic, JavaScript-rendered content.Throughout the course, you'll discover how to build custom web scraping bots from scratch, learning how to handle everything from scraping static pages to more complex tasks like logging into websites to extract protected data. Additionally, you'll explore how to automate your scraping tasks by scheduling them using cron jobs, allowing you to run your scripts at regular intervals on the cloud for free.Each project is designed to simulate real-world scenarios, helping you apply your new skills immediately. By the end of the course, you'll be proficient in scraping both static and dynamic content, automating data extraction, and deploying your projects to the cloud. Whether you want to scrape product data, job listings, or social media information, this course will equip you with the tools and knowledge you need to succeed. Who this course is for This course is perfect for Python enthusiasts eager to dive into web scraping and build real-world bots. Whether you're new to web scraping and looking to expand your skill set or an experienced developer aiming to enhance your scraping capabilities, this course offers the practical knowledge and hands-on experience needed to master the field. It's ideal for freelancers, software testers, and anyone interested in performing web scraping tasks efficiently. Homepage https://www.udemy.com/course/build-5-python-web-scraping-projects-beginner-to-advanced/ Screenshot TakeFile https://takefile.link/31s4d0qqgbkk/hyonl.Projects.Beginner.to.Advanced.rar.html https://takefile.link/zudzt78kc56s/hyonl.Python..Beginner.to.Advanced.rar.html Rapidgator https://rg.to/file/1dc38f6c789c4226fb17ab7a33c50fae/hyonl.Projects.Beginner.to.Advanced.rar.html https://rg.to/file/72ae5f393c663b2bb7f5e3d32404c375/hyonl.Python..Beginner.to.Advanced.rar.html Fikper Free Download https://fikper.com/GpVhKvUrNy/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part1.rar.html https://fikper.com/MRypTQ5fNR/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part2.rar.html https://fikper.com/N0DtGENvKW/hyonl.Projects.Beginner.to.Advanced.rar.html https://fikper.com/NKjMb9KYcN/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part3.rar.html https://fikper.com/OuTmMXYvt8/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part3.rar.html https://fikper.com/S43VgRGB0m/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part2.rar.html https://fikper.com/WxjUL6Jnpg/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part1.rar.html https://fikper.com/jGVgJe4eVk/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part2.rar.html https://fikper.com/vwwm7Yzuwy/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part3.rar.html https://fikper.com/xpjx7uMhuk/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part1.rar.html https://fikper.com/z4M2XtGWlc/hyonl.Python..Beginner.to.Advanced.rar.html No Password - Links are Interchangeable

Free Download 8 hours of advanced C projects Cyber Security Published 10/2024 Created by dr Jonas Birch, C programming ninja MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 13 Lectures ( 8h 0m ) | Size: 4.14 GB Write Tor clients, encryption libraries and safestring libraries. You will also learn Linux filesystem Security in depth What you'll learn Learn to write your own Cyber Security tools Learn to write tools which utilise network connections. Improve your knowledge in advanced C concepts like pointers and structs etc. Learn about encryption, the Tor network, to write unhackable code and so on. Learn about Linux filesystem security Requirements This course is at intermediate-advanced level so you should have knowledge about the beginner stuff at least. Description 8 hours of advanced C projects: Cyber SecurityThis is an 8 hour composite course (divided in 13 different 40min videos) containing my best content with regards to Cyber Security. You will get an in-depth knowledge in writing encryption tools, connecting to the Tor privacy network, and how to write safe, un-hackable C code by making a safe string library.When doing all of this practically, I will explain all the necessary theory while we're coding. So there are no dense sections of heavy theory but you will still learn everything you need in order to fully understand the things we are building. While on this journey, you will also improve your knowledge of some of the more advanced features of the C language. Like how dynamic memory works, how you deal with linked lists, everything about advanced pointers, operating system functions (syscalls) as well as some binary bitwise operations, etc.You will also learn the basics of Linux file system security and a whole lot more. And, as always, in 1080p resolution. Enjoy!Best regards,JBFree previewDo not miss out of the free preview. You can watch the entire first episode (40min!) for free. That contains the most part of one of my best C projects, the Toralizer. It is a command-line tool which lets you redirect any other Linux command through the Tor network.Example:bash--description--nbsp;toralize curlhttp://website-urlThis will connect to the Tor privacy network and access the website. This works with any Linux command and we will code this tool from scratch to the finish line, in this course.PrerequisitesThis is not a beginner course in the C language (I have courses like that too). This is for people who already knows the basics of C and wants to take the next step to intermediate-advanced level knowledge of the C language.This course is also for C coders who wish to know more about Cyber Security.The authordr. Jonas Birch has been programming the C language for more than 25 years and he's been teaching for the last 7-8 years. He has a background in the Cyber Security industry and he's a Senior network engineer. His videos are very popular (some are the highest rated courses on Udemy, in its category) and he's got a very soothing voice which is easy for the ears.Table of Contents00:00:00 Toralizer part 101:27:29 Xor encryption01:39:09 Coding a real encryption library04:05:41 How to install your own C library04:15:13 Learn Linux file system security04:44:51 Coding a file encryptor, part 105:37:21 Coding a file encryptor, part 206:05:00 Write unhackable code (safe string lib)07:19:47 Toralizer part 2 Who this course is for C programmers interested in Cyber Security and who wants to do more advanced projects. Homepage https://www.udemy.com/course/cybersecurity-c-projects/ Screenshot Rapidgator https://rg.to/file/04cd0ae45005e7b920d6f69a94e91aab/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part1.rar.html https://rg.to/file/4b4910a60f0698a5b4de9540f34d95ba/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part3.rar.html https://rg.to/file/992a55538b937537df37eca9bd1f3c73/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part5.rar.html https://rg.to/file/c448ba5bebd1701ad74acdb6d6fb22c9/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part2.rar.html https://rg.to/file/d98b48e9e948b012a57526b5d0ec4785/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part4.rar.html Fikper Free Download https://fikper.com/8Hl3GJuSAq/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part1.rar.html https://fikper.com/O4rPjGs6a4/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part3.rar.html https://fikper.com/RBWsZIF3Ci/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part2.rar.html https://fikper.com/TOZRz9cEff/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part5.rar.html https://fikper.com/fXEFeAW5UY/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part4.rar.html No Password - Links are Interchangeable

Free Download 45 Real World Java Development Projects Bootcamp Course 2024 Last updated 4/2024 Created by Engineering Org In MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 398 Lectures ( 75h 44m ) | Size: 23.4 GB Java Programming Course: Learn Development Of JAVA Projects Using JSP,JDBC, Servlets, Swing, Spring Boot,Maven,Hibernate What you'll learn Gain in-depth understanding of core & advanced features of Java Master design principles, best practices and coding conventions for writing well-designed, professional Java code Get real-world experience by developing an Java based Web application using technologies like JSP, Servlets Master Object-Oriented Programming concepts by using a real-world application as a case study Requirements Knowledge Of JAVA Description What is Java?Java is a cross-platform object-oriented programming language that was released by Sun Microsystems in the year 1995 . Today, Java is needed to run various applications such as games, social media applications, audio and video applications, etc .What is Java used for?Before I go ahead with this, let me brief you about why you should choose Java . It is highly popular and has dominated this field from early 2000's till the present 2022 .Some of the applications are listed below:· Banking: To deal with transaction management .· Retail: Billing applications that you see in a store/restaurant are completely written in Java .· Information Technology: Java is designed to solve implementation dependencies .· Android: Applications are either written in Java or use Java API .· Financial services: It is used in server-side applications .· Stock market: To write algorithms as to which company they should invest in .· Big Data: Hadoop MapReduce framework is written using Java .· Scientific and Research Community: To deal with huge amount of data .In This Course We Are Going To Work On 45 Java Projects:Project-1 : Electricity Billing System - Java Core, Swing, JDBC, MySQLProject-2 : Hotel Management System - Java Core, Swing, JDBC, MySQLProject-3 : Airlines Management System - Java Core, Swing, JDBC, MySQLProject-4 : University Management System - Java Core, Swing, JDBC, MySQLProject-5 : Travel and Tourism Management System - Java Core, Swing, JDBC, MySQLProject-6 : Store Billing System - Java Core, Swing, JDBC, MySQLProject-7 : Bank Management System - Java Core, Swing, JDBC, MySQLProject-8 : Application World - Java Core, Swing, AWTProject-9 : Payroll System - Java Core, Swing, JDBC, MySQLProject-10 : Cab Booking System - Java Core, Swing, JDBC, MySQLProject-11 : Simple Playlist Application In java - Java SE & OOPSProject-12 : Simple Web Browser Application - Java SE, Maven & OpenJFXProject-13 : Pentominoes Game In java - Java SE, Swing APIProject-14 : Number Puzzle Game In Java - Java SE, Swing APIProject-15 : Currency Converter API - Java SE, Maven, SwingProject-16 : Bridge game in Java - Java SE, Swing & Java AWTProject-17 : Rock Scissor Paper Game in java - Java SE, Maven, SwingProject-18 : Dungeon: The Adventure Game In Java - Java SE & OOPSProject-19 : Minesweeper Game in Java - Java SE, Swing APIProject-20 : Sokoban: A video puzzle game in Java - Java SE, Swing APIProject-21 : Create a School Payment Management System in JAVA-Core javaProject-22 : Build Your Own Notepad Clone using JAVA-Core javaProject-23 : Create a Game of Feeding the Snake using JAVA GUI-Core JAVA, JAVA Swing, JAVA AWTProject-24 : Create a Music Playlist Library using JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-25 : Create an Interesting Game of Noughts and Crosses in JAVA-Core javaProject-26 : Create a Food Ordering System in JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-27 : Create a Download Manager in JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-28 : Create an ATM Machine Interface using JAVA-Core javaProject-29 : Create A Contact Repository Interface Using JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-30 : Build A Painting Canvas Tool Using JAVA Swing-Core javaProject-31 : Build An Interactive BST Visualizer Application In JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-32 : Build A File Browser Interface Using JAVA Swing-Core JAVA, JAVA Swing, JAVA AWTProject-33 : Create A Time And Task Management System In Java -Core javaProject-34 : Email Administration System - Java coreProject-35 : Event Management System - Java servletProject-36 : Online Quiz system - JDBC, JSPProject-37 : E library System - Java servlet, JDBCProject-38 : TCP Chat Application - Java networking, java swingProject-39 : Covid Information Tracker - Java spring boot, jdbcProject-40 : Blog & Report System - Java, JSP, AJAXProject-41 : Email System Web App - Java Servlet, JSPProject-42 : Network Packet Tracer Using Java - Java Swing, MavenProject-43 : Symmetric Encryption Cryptography in JavaProject-44 : Employee Management System - Java, Spring framework, Hibernate, Heroku developmentProject-45 : Breakout Ball Game - Java, OOPs, Java AWT swing Who this course is for Beginners In JAVA Homepage https://www.udemy.com/course/java-programming-project-using-jsp-jdbc-servlets/ Screenshot Rapidgator 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Free Download Udemy - Tender Management In Construction Projects Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 306.24 MB | Duration: 0h 45m Construction, Tender, Project, Management, Project Management, Bidding, Offers What you'll learn What is a tender? For what purpose are tenders used in construction projects? Matters to be considered when organizing a tender Tender processes in Construction Projects How to select the best contractor for your construction projects Requirements To have a bachelor's or associate's degree at a level that can work in construction projects (Engineering, Architecture, Technician, Business Administration, etc.) Description This course extensively covers the various stages of the general tender process employed in construction projects, which play a crucial role in societal development. It provides a comprehensive exploration of the tender method, utilized to procure contractors for essential tasks throughout key phases in construction projects, such as land development, design, construction, commissioning, and occupancy.Designed with the needs of early-career professionals in the construction sector and university students aspiring to join the industry in mind, the course aims to be accessible. The content employs straightforward language, making it accessible to individuals outside the sector who have an interest in the subject.Throughout the training, parti[beeep]nts will gain insights into essential preparations preceding the tender, the methods employed during the tender phase, the intricacies of the process, the assessment of received bids, the selection of the most suitable tenderer, and, finally, the detailed explanation of the contract process with the successful tenderer.Moreover, parti[beeep]nts will have the opportunity to access a variety of documents discussed in the course sections through the resources section at the end of each section. This feature allows for the downloading of relevant materials and the creation of the personal records, serving as valuable examples for future use. Overview Section 1: Introduction Lecture 1 Short Introduction about the Lecturer Lecture 2 What are we going to learn during this course? Lecture 3 What is a Tender? Section 2: Tender Preparation Process Lecture 4 Tender Preparation Process Lecture 5 Administrative Tender Documents Lecture 6 Technical Tender Documents Section 3: Contractor Pre-Qualification Process Lecture 7 How to prequalify the contractors for your tender? Section 4: Offer Collection Period Lecture 8 Introduction Lecture 9 Distribution of Tender Documents Lecture 10 Offer Period Sub-Processes Lecture 11 Collection of the Offers Section 5: Offer Evaluation and Finalizing the Tender Lecture 12 Introduction Lecture 13 Technical Evaluation of Offers Lecture 14 Commercial Evaluation of Offers Lecture 15 Determining the Tender Winner Lecture 16 Transition to the Contract Process Professionals who work and/or want to work in the tender department in construction projects.,University students who want to learn the functioning of tender processes in construction projects. Homepage https://www.udemy.com/course/tender-management-in-construction-projects/ Rapidgator https://rg.to/file/88aa09086347a001d7a2eea16c668132/jnvpv.Tender.Management.In.Construction.Projects.rar.html Fikper Free Download https://fikper.com/g87eyDcPXt/jnvpv.Tender.Management.In.Construction.Projects.rar No Password - Links are Interchangeable

Free Download Parametric Facade Rebuilding Real Projects With Grasshopper Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.13 GB | Duration: 3h 52m Master Parametric Facade Design with Grasshopper: Recreate Real Projects, Learn Advanced Techniques, and Optimize Design What you'll learn Recreate Iconic Parametric Facades: Learn how to rebuild real-world parametric facade designs, step-by-step, using Grasshopper Rhino. Develop Custom Parametric Facades: Apply your skills to design unique, adaptive, and scalable facade systems tailored to specific architectural needs. Optimize Design Workflow for Efficiency: Improve your design process with advanced Grasshopper techniques, enabling faster iterations and smarter solutions for Master the Basics of Grasshopper: Gain a solid understanding of Grasshopper's interface, components, and workflow for parametric design. Requirements No prior experience with Grasshopper is necessary, as the course will cover fundamental concepts and build up to advanced parametric facade design. Description Are you looking to master parametric facade design and accelerate your learning process? This course is designed for architects, designers, and engineers who want to dive into the world of parametric architecture using Grasshopper Rhino. Instead of theoretical exercises, you will rebuild some of the best real-world parametric facade projects. This hands-on approach ensures that you acquire practical skills quickly while working on recognizable architectural designs.Throughout this course, you'll start by learning the fundamentals of Grasshopper, focusing on its interface, components, and basic parametric workflows. As you progress, we will guide you step-by-step in recreating complex facade systems from well-known buildings. Each project is broken down into manageable sections, making it easier to grasp how parametric design principles are applied in real-world scenarios.You will not only learn how to replicate these facades but also how to customize and adapt designs to fit different architectural requirements. We will cover advanced design optimization techniques that improve workflow efficiency and help you iterate faster.By the end of the course, you will have built several iconic parametric facades and developed the confidence to create your own complex designs. This course is ideal for anyone looking to improve their parametric design skills in a short time and apply them in real architectural projects. Overview Section 1: Rebuild Real Projects Facade using Grasshopper Lecture 1 Project 1: Kinetic façade design Grasshopper, designed by Foster+Partners Lecture 2 Project 2: Al Bahar Tower Lecture 3 Project 3: Warminska Shopping Gallery Kuryloqicz & Association Olsztyn, Poland Lecture 4 Project 4: Pôle Simone Veil Multifunctional and Sports Center / K architectures Lecture 5 Project 5: Karlatornet \tower / Entasis Arkitekter + SOM Lecture 6 Project 6: Cytokinesis tower in Doha Qatar by Hayriatak arch. This course is designed for architects, designers, and students who want to master parametric facade design using Grasshopper. It is ideal for those looking to enhance their skills in computational design, create innovative and adaptive architectural facades, and explore sustainability and optimization in building design. Whether you're a beginner to parametric tools or an experienced professional seeking to deepen your knowledge, this course will provide valuable, real-world applications for your projects. Homepage https://www.udemy.com/course/parametric-facade/ Rapidgator https://rg.to/file/3f9bba4581052220f3024a70deaa0bcd/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part1.rar.html https://rg.to/file/c2a0133b37f6a151f37b18b314d33693/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part2.rar.html https://rg.to/file/c2c40548fe0fdec1e303836dac773215/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part3.rar.html https://rg.to/file/2dcf7889589155aa261ac05b3f160128/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part4.rar.html https://rg.to/file/b544d8da2dab6b968554cbf1a21fe769/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part5.rar.html Fikper Free Download https://fikper.com/D9EcVOEQNG/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part1.rar https://fikper.com/SVrAmLuMtL/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part2.rar https://fikper.com/VMCvYm2TlA/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part3.rar https://fikper.com/8yySwh0AZP/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part4.rar https://fikper.com/Sj0Eo04pdA/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part5.rar No Password - Links are Interchangeable

Free Download Build 10 JS Projects With Claude AI - Learn With AI Published 10/2024 Created by Code House MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 11 Lectures ( 1h 34m ) | Size: 622 MB Development JavaScript Projects with Claude AI with No Programming Skill What you'll learn: Beginner to intermediate JavaScript developers looking to enhance their skills Web development enthusiasts interested in building practical projects Students curious about integrating AI into their coding process Self-taught programmers seeking structured project-based learning Anyone interested in exploring the intersection of AI and web development Requirements: Basic understanding of HTML and CSS Familiarity with fundamental programming concepts (variables, functions, loops) A computer with internet access A text editor (VS Code recommended, but any will do) Enthusiasm for learning and experimenting with code No prior experience with AI tools is required - we'll cover everything you need to know! Description: Dive into the world of JavaScript programming with the power of AI at your fingertips! This unique course combines hands-on coding experience with the cutting-edge capabilities of Claude AI to help you build 10 exciting JavaScript projects.Throughout this course, you'll:Learn how to leverage AI to enhance your coding skillsBuild 10 practical and diverse JavaScript projectsGain confidence in problem-solving and debugging with AI assistanceUnderstand best practices in modern JavaScript developmentExplore how AI can be integrated into your development workflowWhether you're a beginner looking to start your coding journey or an experienced developer wanting to explore AI-assisted programming, this course offers a fresh perspective on learning JavaScript. Join us and discover how AI can revolutionize the way you code!- By the end of this course, you will be able to:1. Develop 10 functional JavaScript projects from scratch2. Utilize Claude AI to assist in coding, problem-solving, and debugging3. Implement modern JavaScript syntax and best practices4. Understand how to break down complex problems into manageable steps5. Gain experience in working with APIs, DOM manipulation, and event handling6. Learn how to use AI tools in your development process effectively7. Improve your ability to read, understand, and write clean JavaScript code8. Develop a portfolio of projects to showcase your skills to potential employers Who this course is for: JS Enthusiasm Web Programmers mostly for beginners AI Lovers Programmers that loves AI tools Homepage https://www.udemy.com/course/build-10-js-projects-with-claude-ai-learn-with-ai/ Rapidgator https://rg.to/file/449c04ed9e6a1ae741b033d65e70b324/vlczl.Build.10.JS.Projects.With.Claude.AI..Learn.With.AI.rar.html Fikper Free Download https://fikper.com/ud7AXMlXwt/vlczl.Build.10.JS.Projects.With.Claude.AI..Learn.With.AI.rar No Password - Links are Interchangeable

Free Download 19 Generative Ai Real Time Projects End To End Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 5.45 GB | Duration: 6h 23m Master Generative AI with 20+ Real-World Projects: Build, Deploy & Scale End-to-End Solutions What you'll learn Develop practical skills in building and deploying generative AI applications using LLM models. Gain hands-on experience in training and fine-tuning LLM models using various datasets. Create diverse applications leveraging the power of these LLM models. End-to-end Projects Using LLM, VectorDB, Langchain, LlamaIndex, Flask, Streamlit, Chainlit and so on. Gain hands-on experience in LLMOps Master Google Vertex AI & AWS Bedrock for Generative AI Project Implementation Requirements Proficiency in Python Programming: Strong understanding of Python syntax and experience with data manipulation libraries (NumPy, Pandas). Basic Deep Learning Knowledge: Familiarity with neural networks, backpropagation, and concepts like CNNs and RNNs. Experience with ML Frameworks: Hands-on experience using TensorFlow, PyTorch, or Keras for model development and training. Mathematics Foundation: Knowledge of linear algebra, calculus, and probability for comprehending model architecture. Description Welcome to the ultimate hands-on course on Generative AI, where theory meets practice through a series of 20+ real-world projects! This course is meticulously crafted to help you master cutting-edge Generative AI models like GPT, GANs, Transformers, Variational Autoencoders, and more by building complete, end-to-end solutions from scratch.This comprehensive course is designed to accommodate learners at different levels, making it ideal for both beginners and experienced AI professionals. Whether you are new to the field or have some foundational knowledge, you'll start with a solid introduction to the core concepts of Generative AI. From there, we'll dive into advanced topics, ensuring that by the end, you'll have a deep understanding of the intricacies of various models, their applications, and implementation techniques.Throughout the course, you'll work on projects spanning a wide range of domains, including natural language processing, image synthesis, video generation, code completion, music composition, and creative design. Each project is carefully structured to take you through every stage of the development process-from data collection and preprocessing to model building, optimization, and deployment strategies.By following our step-by-step tutorials, you will gain hands-on experience in building real-world AI applications, creating a rich portfolio of projects that showcase your skills. You'll also learn about best practices for model performance optimization, cloud deployment, and scaling solutions for various business needs. This course includes source codes, project files, quizzes, and interactive exercises to help reinforce your learning.By the end, you'll have the confidence and expertise to build, deploy, and scale state-of-the-art Generative AI solutions in diverse industries. Overview Section 1: Projects Lecture 1 Text summarization with hugging face Lecture 2 Text to Image generation with LLM with hugging face Lecture 3 Text to speech generation with LLM with hugging face Lecture 4 Telegram bot using OpenAI Lecture 5 Finetuning of GPT-3 model for text classification Lecture 6 Audio Transcript Translation with Whishper Lecture 7 Image generation with DALL-E Lecture 8 Custom Website Chatbot Lecture 9 Custom Website Chatbot using Open source LLMs Lecture 10 Build a Q&A App with RAG using Gemini Pro and Langchain Lecture 11 Financial Stock Analysis using LlamaIndex Lecture 12 End to End Medical Chatbot Project with LLM, Pinecone, LangChain Lecture 13 End to End Source Code Analysis with LangChain, OpenAI and ChromaDB Lecture 14 Implementing Zomato chatbot with Chainlit Lecture 15 How to Deploy Generative AI Application as CICD on AWS Lecture 16 RAG on Vertex AI with Vector Search and Gemini Pro Lecture 17 LLM powered application on Vertex AI Lecture 18 Hands-on AWS Bedrock AI Enthusiasts & Beginners: Individuals looking to explore and build a solid foundation in Generative AI through practical projects.,Data Scientists & Machine Learning Engineers: Professionals wanting to expand their skillset by implementing advanced AI models.,Software Developers: Developers interested in transitioning to AI roles and building real-world AI applications.,Researchers & Academics: Those looking to apply Generative AI techniques in research or academic projects. 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Free Download Master Power BI - 30 Hands-On Projects for Data Visualization Last updated 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 21h 21m | Size: 10.06 GB From Data Preprocessing to Advanced Business Intelligence, Analytics-Become an In-Demand Microsoft Power BI Expert! What you'll learn Understand the business intelligence workflow from end-to-end Connect Microsoft Power BI to data sources Real life case studies and projects to understand how things are done in the real world Design and implement the same B.I. tools used by professional analysts and data scientists Become proficient in creating stunning visualizations that communicate complex data effortlessly. Acquire real-world skills through project-based learning, making you job-ready. Requirements Basic knowledge of Power B.I Description The future of Power BI holds a promise of even greater capabilities, innovation, and impact in the realm of data analytics and business intelligence. As we peer into the horizon, several exciting trends and developments are likely to shape the trajectory of Power BI:Advanced AI Integration: The convergence of Power BI with artificial intelligence and machine learning will enable automated insights extraction, predictive analytics, and natural language processing. Users will be able to interact with their data using natural language queries, making data analysis more accessible and intuitiveEnhanced Data Connectivity: Power BI will continue to expand its data connectivity options, facilitating seamless integration with an ever-growing variety of data sources, including IoT devices, cloud services, and external databases. This will empower organizations to derive insights from diverse and complex data streamsReal-time Analytics: The future will see Power BI becoming even more real-time and dynamic. Businesses will be able to monitor and visualize live data streams, enabling rapid decision-making based on up-to-the-minute informationEmbedded Analytics: Power BI will increasingly be embedded within other applications and platforms, bringing analytics directly to where users work. This will enhance the user experience and enable organizations to infuse data-driven insights into their day-to-day operationsEnhanced Collaboration: Collaborative features will evolve, allowing teams to work more seamlessly on shared reports and dashboards. Enhanced commenting, annotation, and version control will foster better teamwork in data analysisCustom Visualizations: The future of Power BI will likely include more advanced and customizable visualizations. Users will have the ability to create unique and tailored visuals that precisely represent their data and insightsData Governance and Security: As data privacy and security concerns continue to rise, Power BI will place a strong emphasis on enhancing data governance features. This includes tighter controls over data access, sharing, and compliance with regulations like GDPRCloud-Native Approach: Power BI's integration with the cloud will deepen, enabling users to harness the full potential of cloud computing, such as scalability, flexibility, and collaborative capabilitiesContinuous Innovation: Microsoft's commitment to ongoing development means that Power BI will continually evolve with new features, updates, and improvements. User feedback will continue to play a pivotal role in shaping the platform's evolutionThe future of Power BI is an exciting one, marked by cutting-edge technology, democratized data access, and transformative insights that will empower businesses and individuals to make smarter decisions and drive innovation in an increasingly data-driven worldIn this course you will work on 30 Power BI projects listed below:Project-1: Global Data Professionals Benchmarking DashboardProject-2: Beijing Air Quality Dashboard: DAX and VisualizationsProject-3: Real Estate in Daegu: Apartment Pros and Cons AnalysisProject-4: Super Market Sales Analysis: Power Query and DAXProject-5: COVID-19 WHO Dataset Insights: Power Query and DAXProject-6: Credit Card Defaulters Analysis: Power Query and DAXProject-7: Crime in Chicago: 3-Year Analysis with VisualizationProject-8: Customer Churn Analysis: Real-World Business ProblemProject-9: Customer Churn Analysis (Advanced Features): Data ModelingProject-10: Attrition Analysis: HR Data Transformation and VisualizationProject-11: Road Accident Analysis: Relations and Time IntelligenceProject-12: Generic Sales Analysis for Practice: Data TransformationProject-13: Maven Toy Sales Analysis: Transformations and DAXProject-14: Maven Pizza Sales Analysis: Transformations and DAXProject-15: IT Spend Analysis: Variance of Global IT FirmProject-16: Sales Data Analysis: Generic Super Market SalesProject-17: Foods and Beverages Sales Analysis DashboardProject-18: Budget vs. Actual Spending Analysis DashboardProject-19: HR Analytics Dashboard: Attrition AnalysisProject-20: E-commerce Super Store Sales AnalysisProject-21: Patient Summary Dashboard: Medical RecordsProject-22: Global Super Store Sales Data AnalysisProject-23: Boston Housing Dataset Dashboard: Real EstateProject-24: Crime in Los Angeles: Yearly City AnalysisProject-25: IMDB Movie Dataset Dashboard: Movie ComparisonProject-26: Hotel Reservation Dashboard: Global Hotel BusinessProject-27: Toy Sales Data Analysis: Practice DatasetProject-28: Netflix Stock Price Dashboard: Business AnalysisProject-29: Personal Finance Management Dashboard: Financial InsightsProject-30: A Deep Dive into Bank Customer Churn with Power BI Who this course is for Beginners in Power B.I Homepage https://www.udemy.com/course/data-analysis-power-bi-projects/ Rapidgator https://rg.to/file/0158af3b0f78368493e1baadd5a12fd7/vbsdd.Master.Power.BI.30.HandsOn.Projects.for.Data.Visualization.part01.rar.html https://rg.to/file/0305a9a527db0f027679a2610569af47/vbsdd.Master.Power.BI.30.HandsOn.Projects.for.Data.Visualization.part08.rar.html https://rg.to/file/06a67de6bb31de8cacb6a4494a5a24a4/vbsdd.Master.Power.BI.30.HandsOn.Projects.for.Data.Visualization.part05.rar.html https://rg.to/file/19b08e027c368328af29fcc8613623f2/vbsdd.Master.Power.BI.30.HandsOn.Projects.for.Data.Visualization.part11.rar.html 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Free Download Effective Management of Jira Projects on the Cloud Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 28m | Size: 665 MB Mastering Efficient Jira Project Management in the Cloud: Best Practices and Key Strategies.(ACP-620 and ACP-120) What you'll learn Managing Projects Managing Roles and Permissions Managing Boards Boards and Projects Managing Issues Automation Reports and Dashboards Creating & Configuring Team-Managed projects Requirements Aiming to manage Agile projects of any scale effortlessly. Familiarity with basic Agile terms and principles. Access to a Jira Cloud instance Basic understanding of Jira including knowledge of projects, issues, issue types, workflow, and boards. Description Welcome to the "Effective Management of Jira Projects on the Cloud" course! In this course, you will learn to streamline workflows, enhance team collaboration, optimize Agile practices, automate tasks, and achieve visibility into project progress for effective management of any project size.My goal for this course is to teach you how to:Configure boards and issue typesImplement version and componentsConfigure Jira Automation RulesAssign team members to project rolesModify project detailsRun reports and create dashboardsWork with the Jira administrator to configure Jira to meet business requirementsThe overall goal is to create projects that teams love to work with. Adoption equals success!To succeed with this course, you need to have a Jira essential course OR a basic understanding of Jira including knowledge of projects, issues, issue types, workflow, and boards.Here's an overview of the course, along with the key topics we'll cover in the upcoming lectures:Managing ProjectsManaging Roles and PermissionsManaging BoardsBoards and ProjectsManaging IssuesAutomationReports and DashboardsCreating & Configuring Team-Managed projectsAfter completing this thorough course, you can easily earn certification in Managing Jira Projects for Cloud and also other Atlassian certifications like ACP-120, and ACP-620. Who this course is for This course is designed for anyone who is responsible for managing and maintaining the health of one or more Jira projects Project Managers and Scrum Masters: Looking to efficiently manage and track Agile projects using Jira. Team Leads and Product Owners: Seeking to streamline workflows and enhance team collaboration. Developers and QA Engineers: Wanting to improve issue tracking, bug management, and sprint planning. Business Analysts: Interested in leveraging Jira for requirements management and progress tracking. New Jira Users: Anyone looking to gain a solid foundation in managing projects on Jira Cloud or Server. Agile Practitioners: Professionals aiming to integrate Jira into their Agile processes and practices. Homepage https://www.udemy.com/course/effective-management-of-jira-projects-on-the-cloud/ Rapidgator https://rg.to/file/9eee7db6c44f60b514eb007c6f2a4a7d/bkhqq.Effective.Management.of.Jira.Projects.on.the.Cloud.rar.html Fikper Free Download https://fikper.com/GRassy93Zi/bkhqq.Effective.Management.of.Jira.Projects.on.the.Cloud.rar.html No Password - Links are Interchangeable

Free Download Quick And Easy 60+ Blender Projects For Beginners Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.59 GB | Duration: 6h 49m Blender beginners course, modeling in blender, blender 3d, Animation in blender What you'll learn Learn basic 3D modeling: Create simple objects like an ice cream cone, pencil, and book using Blender's tools and interface. Develop intermediate skills: Use proportional editing and modifiers to model objects like plates, lamps, and fan blades. Master advanced techniques: Model complex objects with textures and booleans, such as a golf ball, calculator, and chocolate bar. Complete 50+ projects: Gain practical experience by creating real-world products and enhancing your Blender modeling skills. Improve modeling speed: Learn to quickly create everyday objects with step-by-step guidance, boosting your efficiency in Blender. Understand Blender's key features: Explore tools like proportional editing, solidify, and booleans while working on real-world modeling projects. Build confidence in 3D design: Start with simple projects and progress to more complex models, improving your Blender skills at each level. Create polished 3D models: Learn to apply textures and modifiers for professional-looking products like credit cards, bottles, and screws. Requirements There are no prerequisites or prior skills needed. This course is designed for complete beginners. All you need is a computer and the free Blender software. Description Welcome to the Blender Beginners Course! This course is designed for anyone who wants to learn 3D modeling from the ground up. You don't need any prior experience-just a computer and Blender, which is free to download.In this course, you will complete over 50 hands-on projects that will help you learn by doing. We will start with simple objects like ice cream cones, pencils, and books to teach you the basics of Blender. You will get comfortable with the software and learn how to use its tools effectively.As you progress, we will move on to intermediate projects, such as modeling plates, lamps, and bowls. You will learn important techniques like proportional editing and how to use modifiers to enhance your designs. Finally, you will tackle more advanced projects, including chocolate bars, calculators, and golf balls, where you will apply image-based texturing and advanced modeling techniques.Throughout the course, you will gain practical experience and build your confidence in creating 3D models. This course is perfect for beginners, hobbyists, or anyone interested in 3D design. By the end, you will have the skills needed to create a variety of everyday objects in Blender. Join us and start your journey into the exciting world of 3D modeling today! Overview Section 1: Introduction : Basics of Blender Lecture 1 Introduction of the Course Lecture 2 Downloading & Installing Blender Lecture 3 Basic user interface- working space, tools, collections, gizmo etc Lecture 4 Important settings of Blender Lecture 5 Operations on Mesh & Types of Meshes Lecture 6 Different Modes of Editing Section 2: Basics 3D Modals Projects (25+Projects) Lecture 7 Ice cream cone Lecture 8 Chalk Lecture 9 Toothpick Lecture 10 Coin Lecture 11 Simple Mouse Pad Lecture 12 Simple credit card Lecture 13 Pencil Lecture 14 Diamond Lecture 15 Basic Lollipop Lecture 16 Simple Matchstick Lecture 17 Basic Tag (Clothing Tag) Lecture 18 Simple ring Lecture 19 Basic Rubber Band Lecture 20 Simple Drinking Straw Lecture 21 Simple Bottle Cap Lecture 22 Water container Lecture 23 Hat Lecture 24 Glass Lecture 25 Simple disk - CD Lecture 26 Simple Bottle Lecture 27 Table Lecture 28 Chair Lecture 29 Candle Lecture 30 Basic ruler Lecture 31 Book Lecture 32 Simple Magazine or Notebook Lecture 33 Pen Cap Lecture 34 Battery Lecture 35 Simple Matchbox with Animation Section 3: Intermediate 3D Modals Projects (15+Projects) Lecture 36 Plate Lecture 37 J shape hanger Lecture 38 Basic Rubber Band Lecture 39 bowl Lecture 40 bottle Lecture 41 Simple Ice Cream Stick Lecture 42 Shirt Botton Lecture 43 Basic Fruit Slice Lecture 44 Simple Eyeglass Lecture 45 Basic Hair Comb Lecture 46 Basic Desk Lamp Lecture 47 Basic Ceiling Fan with Animation Lecture 48 Simple switch Board Lecture 49 Open Carton Box Section 4: Advance 3D Modals Projects (10+ Projects) Lecture 50 Basic ruler with image attach or texture Lecture 51 Basic Golf Ball - image texture Lecture 52 Carton Box Texture Lecture 53 Basic Headphone Jack Lecture 54 Simple Calculator Lecture 55 Simple Chocolate Bar Lecture 56 Tea cup Lecture 57 Scoop or Spoon Lecture 58 Basic Hand Mirror Lecture 59 Basic Temple Bell Lecture 60 Screw Section 5: Extra 3D Projects Lecture 61 Rubicks cube Lecture 62 Paste tube Lecture 63 Bottle and Chess Pawn Lecture 64 Attach Image texture in Credit card Lecture 65 Basic Leaf Section 6: Thanks and What Next :) Lecture 66 Thanks and What Next :) This course is perfect for beginners who want to learn 3D modeling in Blender from scratch. It's ideal for aspiring 3D artists, designers, and hobbyists looking for hands-on projects to build their skills quickly and effectively. No prior experience is required, making it accessible for anyone interested in learning 3D product creation. 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Free Download Docker for Developers - Master Docker with Hands-On Projects Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 46m | Size: 305 MB Master Docker with Python. Build, run, and manage Flask apps with Docker, Docker Compose, and Docker Desktop. What you'll learn Learn how to containerize Python applications with Docker. Master Docker basics, from creating Dockerfiles to managing images and containers. Understand Docker Compose to manage multi-container applications easily. Efficiently troubleshoot and manage Docker Desktop for containers, images, and logs. Requirements No programming experience required - you'll learn Docker from scratch. Basic Python knowledge will be helpful but not necessary. A computer running Windows, macOS, or Linux with Docker Desktop installed. Visual Studio Code (free) for code editing. Docker Description Welcome to Docker for Developers: Master Docker with Hands-On Projects! This course is designed to provide you with the essential skills and hands-on experience needed to master Docker, one of today's most sought-after technologies. Whether you're new to containerization or an experienced developer seeking to expand your portfolio, this course takes you through every crucial step.In this course, you'll gain practical knowledge of building, managing, and deploying applications using Docker. We start with the fundamentals, covering images, containers, volumes, and networking, and gradually move into advanced topics such as Docker Compose, multi-container environments, and configuring scalable production setups. Beyond just containerizing applications, you'll also learn how to streamline your development workflow by integrating Docker efficiently and effectively.What truly sets this course apart is its project-based focus. Each section features real-world projects that mirror tasks you'd encounter in the workplace, ensuring that by the end, you'll have multiple portfolio-worthy projects showcasing your proficiency with Docker. You'll also dive deep into CI/CD pipelines and how Docker seamlessly integrates with modern DevOps practices.This course thoroughly breaks down Docker fundamentals, ensuring that you grasp every concept you need to become not only a skilled developer but also a more versatile DevOps engineer. Enroll today to acquire the practical, job-ready skills that can elevate your career in today's fast-paced tech industry! Who this course is for Beginner Python developers curious about containerizing their applications. Software developers looking to improve the deployment process of Python apps. DevOps engineers wanting to streamline development with Docker Anyone who wants to learn Docker from scratch and manage Docker environments effectively. Homepage https://www.udemy.com/course/docker-for-developers-master-docker-with-hands-on-projects/ Rapidgator https://rg.to/file/3ed8f0033e9e87ed0dd11461c2baaa6d/csdet.Docker.for.Developers.Master.Docker.with.HandsOn.Projects.rar.html Fikper Free Download https://fikper.com/N0MHk4bLsM/csdet.Docker.for.Developers.Master.Docker.with.HandsOn.Projects.rar.html No Password - Links are Interchangeable

Free Download Complete Azure Data Factory With Projects And Scenario Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.17 GB | Duration: 8h 9m Complete Azure data factory with projects and scenario What you'll learn By end of this course you will be able to develop pipeline in azure data factory how to perform transformation in azure data factory how to work in real time based on Industry level business use case azure data factory scenario based question you will learn how to do parameterization in data pipeline Complete adf with projects Requirements Good to have Azure Account for the practical lab Good internet and laptop/desktop Willing to learn Description This course will target anyone who likes to learn azure data factory . This course will cover all ADF components from the Model and View layer. In this course I have covered complete adf with industry level project . This is completely hands on learning tutorial where we will do practical's based learning and by end of this course we will develop a complete ADF application together (step by step) and By the end of this course, you should be able to develop a complete ADF application by yourself.If you will be able to practical's with me you will be able to get complete picture of data factoryI have also included lessons on the storage blob Storage, Azure SQL Database etc. this course designed for 1. Any one who wants to learn and get hands on azure data factory 2. Any one looking for job change in the data engineering field3. Any one who is having knowledge about analytics4. Any one who wats to gain knowledge about industry level Business use case.please do practice with azure account you will get complete ideas about azure data factory from this.we get free 30 days free azure account that you can utilize for practice. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Dataset download Section 2: Azure data factory Lecture 3 adf Lecture 4 2. How to create azure data factory Lecture 5 3. azure data factory components Lecture 6 4. azure storage account Lecture 7 5. COPY Activity Lecture 8 6. DELETE ACTIVITY Lecture 9 7. AZURE SQL DATABASE CREATION Lecture 10 8. AZURE BLOB to SQL COPY ACTIVITY Lecture 11 9. TRIGGERS IN ADF Lecture 12 10. Scheduled Trigger in adf Lecture 13 11. EVENT BASED TRIGGER IN ADF Lecture 14 12. TUMBLING WINDOW TRIGGER IN ADF Lecture 15 13. DATA FLOW IN ADF Lecture 16 14. JOIN Transformation in ADF Lecture 17 15. UNION TRANSFORMATION IN ADF Lecture 18 16. SELECT TRANSFORMATION IN ADF Lecture 19 17. DERIVED COLUMN TRANSFORMATION IN ADF Lecture 20 18. aggregate transformation in adf Lecture 21 19. PARAMETERIZATION DATASET Lecture 22 20. LINKED SERVICE PARAMETERIZATION Lecture 23 21. PIPELINE PARAMETERIZATION Lecture 24 22. FILE NAMING IN ADF Lecture 25 23. GET METADATA ACTIVITY IN ADF Lecture 26 24. FOR EACH ACTIVITY IN ADF Lecture 27 25. IF CONDITION ACTIVITY IN ADF Lecture 28 26. SET VARIABLE ACTIVITY IN ADF Lecture 29 27. APPEND VARIABLE ACTIVITY IN ADF Lecture 30 28. STORE PROCEDURE ACTIVITY Lecture 31 29. LOOKUP ACTIVITY IN ADF Lecture 32 30. WAIT ACTIVITY IN ADF Lecture 33 31. SWITCH ACTIVITY IN ADF Lecture 34 32. VALIDATION ACTIVITY IN ADF Lecture 35 33. EXECUTE PIPELINE ACTIVITY Lecture 36 34. FILTER ACTIVITY Lecture 37 35. UNTIL ACTIVITY IN ADF Lecture 38 36. WEB ACTIVITY IN ADF Lecture 39 37. FAIL ACTIVITY IN ADF Lecture 40 38. SCRIPT ACTIVITY IN ADF Lecture 41 39. EXIST TRANSFORMATION Lecture 42 40. CONDITION SPLIT TRANSFORMATION Lecture 43 41. PIVOT TRANSFORMATION Lecture 44 42. UNPIVOT TRANSFORMATION Lecture 45 43. SURROGATE KEY TRANSFORMATION Lecture 46 44. WINDOWS TRANSFORMATION Lecture 47 45. ALTER ROW TRANSFORMATION Lecture 48 46. RANK TRANSFORMATION Lecture 49 47. ERROR SOLUTION - AZURE SQLDATABASE V2 ERROR IN ADF Lecture 50 48. IMPORT SCHEMA FAILED ERROR Lecture 51 49. DATAFLOW IMPORT SCHEMA FAILED Section 3: PROJECTS : AZURE DATA FACTORY Lecture 52 1. 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Free Download Twisted Python Projects By Daniel Aldred Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 33m | Size: 111 MB Join Dan as he guides you through a live coding session to build a soundboard app using Python and guizero, based on his book "12 Twisted Python Projects for Young Coders." https://www.oreilly.com/library/view/twisted-python-projects/10000MNCS202425/ TakeFile https://takefile.link/1k4hxse986g4/wwgwi.Twisted.Python.Projects.rar.html Rapidgator https://rg.to/file/f64b9136551869a153876efd82a2b9be/wwgwi.Twisted.Python.Projects.rar.html Fikper Free Download https://fikper.com/4oO8H8N56z/wwgwi.Twisted.Python.Projects.rar.html No Password - Links are Interchangeable

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Free Download MEP Drafting Projects Course Published 9/2024 Created by Augmintech Education Pvt Ltd MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 68 Lectures ( 22h 25m ) | Size: 12.8 GB Master Drafting in HVAC, Plumbing, Fire Fighting and Electrical Projects What you'll learn: Proficiency in HVAC Drafting: Learn to design HVAC systems, including ductwork, equipment placement, and schematics using industry-standard software Expertise in Plumbing Drafting: Draft comprehensive plumbing plans detailing pipe routing, fixture placement, and system connections for water supply & drainage Competence in Fire Fighting Systems Drafting: Create accurate layouts for sprinklers, fire alarms ensuring compliance with safety standards Skills in Electrical Drafting: Produce detailed electrical schematics and plans, specifying circuit layouts, panel schedules, and equipment placement MEP Coordination and Integration: Integrate HVAC, plumbing, fire fighting, and electrical systems into cohesive plans using BIM tools to ensure efficient design Requirements: Basic Knowledge of MEP Systems Description: The MEP Drafting course is a comprehensive program designed to equip you with the essential skills and knowledge required for drafting and designing mechanical, electrical, and plumbing systems. 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Free Download Tiny C Projects, Video Edition Released 12/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 9h 54m | Size: 1.3 GB Learn the big skills of C programming by creating bite-size projects! Work your way through these 15 fun and interesting tiny challenges to master essential C techniques you'll use in full-size applications. In Tiny C Projects you will learn how to Create libraries of functions for handy use and re-use Process input through an I/O filter to generate customized output Use recursion to explore a directory tree and find duplicate files Develop AI for playing simple games Explore programming capabilities beyond the standard C library functions Evaluate and grow the potential of your programs Improve code to better serve users Tiny C Projects is an engaging collection of 15 small programming challenges! This fun read develops your C abilities with lighthearted games like tic-tac-toe, utilities like a useful calendar, and thought-provoking exercises like encoding and cyphers. Jokes and lighthearted humor make even complex ideas fun to learn. Each project is small enough to complete in a weekend, and encourages you to evolve your code, add new functions, and explore the full capabilities of C. About the Technology The best way to gain programming skills is through hands-on projects-this book offers 15 of them. C is required knowledge for systems engineers, game developers, and roboticists, and you can start writing your own C programs today. Carefully selected projects cover all the core coding skills, including storing and modifying text, reading and writing files, searching your computer's directory system, and much more. About the Book Tiny C Projects teaches C gradually, from project to project. Covering a variety of interesting cases, from timesaving tools, simple games, directory utilities, and more, each program you write starts out simple and gets more interesting as you add features. Watch your tiny projects grow into real applications and improve your C skills, step by step. What's Inside Caesar cipher solver: Use an I/O filter to generate customized output Duplicate file finder: Use recursion to explore a directory tree Daily greetings: Writing the moon phase algorithm Lotto pics: Working with random numbers And 11 more fun projects! About the Reader For C programmers of all skill levels. About the Author Dan Gookin has over 30 years of experience writing about complex topics. His most famous work is DOS For Dummies, which established the entire For Dummies brand. https://www.oreilly.com/library/view/tiny-c-projects/9781633439825AU/ TakeFile https://takefile.link/0fpomtu0xwa2/lggmx.Tiny.C.Projects.Video.Edition.part1.rar.html https://takefile.link/5wfx6o8icybw/lggmx.Tiny.C.Projects.Video.Edition.part2.rar.html Rapidgator https://rg.to/file/ca915c57945076a1489f7e583b67769f/lggmx.Tiny.C.Projects.Video.Edition.part2.rar.html https://rg.to/file/cfac359d3bc7f96b01f97db3a5d05246/lggmx.Tiny.C.Projects.Video.Edition.part1.rar.html Fikper Free Download https://fikper.com/EIxpwrecpI/lggmx.Tiny.C.Projects.Video.Edition.part1.rar.html https://fikper.com/Hzex28OpGl/lggmx.Tiny.C.Projects.Video.Edition.part2.rar.html No Password - Links are Interchangeable