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Free Download The Python For Technical Analysis Crash Course Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 911.48 MB | Duration: 2h 35m An Engaging and Focused Course for Learning Financial Analysis in Python What you'll learn Set up a Python coding environment Download stock, forex, futures, or crypto data directly from Python Clean and organize your table of financial data using Python Add new columns of data to your table Analyze financial data with built-in Python functions and methods Code various financial indicators, including Bollinger Bands and Fibonacci Retracement Levels Explore the basics of financial data visualization using the Matplotlib and Plotly libraries Requirements The Anaconda distribution of Python. This can be downloaded for free, and I show you how to do so in one of the course's earliest lessons A basic understanding of data tables Previous experience in Excel or SQL is helpful but not necessary Description Learn all the techniques necessary to begin undertaking financial analysis in PythonThis course teaches you everything need to know to begin using Python for financial and technical analysis. The course is designed to limit unnecessary theoretical digressions and focus on what's useful for beginners who are eager to start applying their knowledge as soon as possible.After several years of using Excel for stock analysis, I began studying Python as a potential alternative. I found that Python offered a much faster and more flexible approach to stock analysis, but I struggled to find learning material that didn't quickly get bogged down in excessive detail. So I essentially ended piecing together my own course by drawing on various articles, videos, and passages from books that I'd bought. The Python for Technical Analysis Crash Course is a distillation of all the months I spent gathering the information that ended up being helpful to me. It's the kind of course I wish I'd been able to find when I started studying Python myself.The course is organized as follows:-In the first part of the course, we'll set up your Python coding environment and go over some Python basics.-After that, we'll see how to download and display stock data in Python, as well as how to remove and reformat data.-Once our table of stock data has been cleaned, we'll start using that data to add new columns to the table (for example, we'll see how to create a column containing a stock's 20-Day Moving Average).-With our table complete, we'll look at various methods for analyzing and visualizing the table's data.-Finally, in the course's Extra Credit section, I'll show you some techniques that didn't quite fit into the main body of the course but that still might be useful for you. Overview Section 1: Introduction Lecture 1 Introduction to Course Lecture 2 Accessing Python Lecture 3 Python Primer Section 2: Getting and Cleaning the Stock Data Lecture 4 Importing Libraries Lecture 5 Getting Stock Data, Pt. 1 Lecture 6 Getting Stock Data, Pt. 2 Lecture 7 A Closer Look at the Table Lecture 8 Deleting and Referencing Columns Lecture 9 Resetting the Index and Reformatting the Date Column Lecture 10 Cleaning up the Index and Expanding the Table Lecture 11 Rounding Lecture 12 Recap 1 Section 3: Adding New Columns to the Table Lecture 13 Day-to-Day Price Percentage Change Lecture 14 20-Day Moving Average Lecture 15 The np.where() Function Lecture 16 Bollinger Bands, Pt. 1 Lecture 17 Bollinger Bands, Pt. 2 Lecture 18 Recap 2 Section 4: Analyzing and Visualizing the Data Lecture 19 The describe() Method, Pt. 1 Lecture 20 The describe() Method, Pt. 2 Lecture 21 The corr() Method Lecture 22 The groupby() Method Lecture 23 Matplotlib, Pt. 1 Lecture 24 Matplotlib, Pt. 2 Lecture 25 Plotly Lecture 26 Exporting the Data to Excel Section 5: Extra Credit Lecture 27 A Few Words on the Extra Credit Lessons Lecture 28 Getting Data for Forex, Futures, and Crypto Lecture 29 Getting Fundamental Data Lecture 30 yf.download() Lecture 31 Data Types Lecture 32 pd.DataFrame() Lecture 33 The assign() Method Lecture 34 Troubleshooting Lecture 35 Fibonacci Retracement Levels Section 6: Farewell Lecture 36 Farewell Students interested in an efficient approach to learning the fundamentals of financial analysis in Python,Excel users looking for a faster and more flexible financial analysis environment,Anyone interested in the learned the basics of data analysis in Python,NOTE: This is a coding and data analytics course, not an investment course. If you're looking for direct trading advice, this is probably not the course for you. Homepage https://www.udemy.com/course/the-python-for-technical-analysis-crash-course/ Rapidgator https://rg.to/file/efdd62e871490f837574a365a9e14e16/winsq.The.Python.For.Technical.Analysis.Crash.Course.rar.html Fikper Free Download https://fikper.com/BqDMNdp4W7/winsq.The.Python.For.Technical.Analysis.Crash.Course.rar.html No Password - Links are Interchangeable

Free Download Crash Course Introduction To Machine Learning Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 292.05 MB | Duration: 0h 40m Kickstart Your Machine Learning Journey: Hands-On Projects with Python Libraries What you'll learn Learn the key concepts of Machine Learning Get experienced with Jupyter Notebooks Learn how to use Python libraries, such as Scikit-learn, numpy, pandas, matplotlib Data handling & cleaning to be used in Machine Learning Introduced to common ML algorithms Learn to evaluate the performance of a model Have hands-on experience with ML algorithms Requirements Basic understanding of high school mathematics Some Python experience would be helpful Description Welcome to "Crash Course Introduction to Machine Learning"! This course is designed to provide you with a solid foundation in machine learning, leveraging the powerful Scikit-learn library in Python.What You'll Learn:The Basics of Machine Learning: Understand the key concepts and types of machine learning, including supervised, unsupervised, and reinforcement learning.Setting Up Your Environment: Get hands-on experience setting up Python, Jupyter Notebooks, and essential libraries like numpy, pandas, matplotlib, and Scikit-learn.Data Preprocessing: Learn how to load, clean, and preprocess data, handle missing values, and split data for training and testing.Building Machine Learning Models: Explore common algorithms such as Linear Regression, Decision Trees, and K-Nearest Neighbors. Train and evaluate models(Linear Regression), and understand performance metrics like accuracy, R^2 and scatter values in plots to measure the prediction.Model Deployment: Gain practical knowledge on saving your pre-trained model for others to use.This course is structured to provide you with both theoretical understanding and practical skills. Each section builds on the previous one, ensuring you develop a comprehensive understanding of machine learning concepts and techniques.Why This Course?Machine learning is transforming industries and driving innovation. This course equips you with the knowledge and skills to harness the power of machine learning, whether you're looking to advance your career, work on personal projects, or simply explore this exciting field.Prerequisites:Basic understanding of Python programming.No prior knowledge of machine learning is required.Enroll Today!Join me on this journey to become proficient in machine learning with Scikit-learn. By the end of this course, you'll have the confidence to build, evaluate, and deploy your machine learning models. Let's get started! Overview Section 1: Introduction Lecture 1 Introduction Section 2: Basics of Machine Learning Lecture 2 AI vs Machine Learning vs Deep Learning Lecture 3 Types of Machine Learning Lecture 4 Key Terminology Section 3: Setting up the environment Lecture 5 Installing Anaconda Distribution Lecture 6 The importance of Jupyter Notebooks Section 4: Data Preprocessing Lecture 7 Data Loading & Cleaning Lecture 8 Data Splitting Section 5: Building a simple ML model Lecture 9 Introduction to ML models & using one Lecture 10 Common ML models Lecture 11 Evaluating accuracy Section 6: Saving the trained model Lecture 12 Saving the model using Pickle Lecture 13 Publishing the ML model Section 7: Conclusion and Next Steps Lecture 14 Recap of What You've Learned Lecture 15 Resources Section 8:[Extra] Improving a model's performance Lecture 16 5 common methods to improve a model's performance Anyone eager enough to learn how machine learning works and to break down the magic to reality Homepage https://www.udemy.com/course/crash-course-machine-learning/ Rapidgator https://rg.to/file/b83e7ace8f870d389cc904a686954d11/ojnlv.Crash.Course.Introduction.To.Machine.Learning.rar.html Fikper Free Download https://fikper.com/8bVS7RovTe/ojnlv.Crash.Course.Introduction.To.Machine.Learning.rar.html No Password - Links are Interchangeable

Free Download ISC2 Certified in Cybersecurity CC Crash Course Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 17m | Size: 1.17 GB Begin on your way to an awesome Cybersecurity career! Join in on the Certified in Cybersecurity Crash Course. What you'll learn We cover all the domains and objectives that are covered in the certification exam. What are the top areas of concern for enterprises around cyber security? Identify the risks with potential vulnerabilities What are the risks that enterprise can face from a cyber security perspective. How to prepare for the ISC Certified in Cybersecurity certification exam. Requirements Someone who is willing to learn and sit for the ISC Certified in Cybersecurity exam Anyone wanting to learn about the fundamentals of IT Security Description The demand for IT security professionals has been exponentially growing year over year and becoming an IT Security Professional can really elevate your potential career opportunities.Obtaining a certification in Cybersecurity from ISC2, CompTIA or other vendor can be a valuable investment in your career, providing you with the skills, knowledge, and recognition needed to succeed in this rapidly growing field.Did you know in Oct 2023, the average salary for a Security Analyst was $84,753 dollars per year in United States according to Glassdoor?Once you complete this cybersecurity course you will be on the way to planning your own specific IT security career path to follow as well as preparing for cybersecurity certifications.Let us help you get enabled as an IT security professional, so what are you waiting for?Let us get started!Join this TechCommanders cyber security course now and elevate your career opportunities!Certified in Cybersecurity Certification Crash CourseCourse OverviewWant to obtain a Cybersecurity Certification for your job or you want to land a job in Cybersecurity? 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Digital Nomad's Productivity & Time management Crash Course MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 10 | 117 MB Genre: eLearning | Language: English Kickstart your morning. Stop the rush, celebrate life and never snooze again. Build your perfect morning routine Kickstart your morning. Stop the rush, celebrate life and never snooze again. Build your perfect morning routine The productivity and time management course for everybody on the go, digital nomads and busy entrepreneurs. Small daily hacks that can make all the difference in your head. More freedom, more automated systems and space for the things you truly love. Over 150 productivity and time management hacks for entrepreneurs and bloggers on the go. Don't waste time on your courses, learn the best hacks in less than 60 minutes, so you can get started with the things you're supposed to do. Now. No 'filler words', no long intros. Just cut to the chase advice to help you live a better life by working productive. In this crash course you'll find 150+ hacks that help you get back your life: Productivity routines Habits to remove from your routine Time saving tips for busy entrepreneurs Work smarter not harder Top automations to get more done in less time (or to take off completely!) Forget the four hour work week. How to work 4 days a month. 100 productivity hacks A list of resources Free planner sheets (worth $20) Download link: http://rapidgator.net/file/508a08a751b712e68e44359f62b38d70/aahlb.Digital.Nomads.Productivity..Time.management.Crash.Course.rar.html http://nitroflare.com/view/BB26827CF0D4485/aahlb.Digital.Nomads.Productivity..Time.management.Crash.Course.rar https://uploadgig.com/file/download/f468EB5f25a0B6c5/aahlb.Digital.Nomads.Productivity..Time.management.Crash.Course.rar http://uploaded.net/file/81hhpu9h/aahlb.Digital.Nomads.Productivity..Time.management.Crash.Course.rar Links are Interchangeable - No Password - Single Extraction

COMMUNICATE! The Crash Course on Public Speaking MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 30M | Lec: 6 | 1.09 GB Genre: eLearning | Language: English Learn how to move people into action with your presentations. This course is design for students, startup founders and people who need to deliver a presentation every 3 to 4 months. Who see the relevance in improving and are motivated for it. In it, you will find 4 main videos designed to take you on a journey that builds upon itself. First you will work on developing a new way to see public speaking and I will give you an exercise to accelerate the process. Second, you will discover the essential structure and process to crafting a message that is engaging and purposeful. Third, learn quick tricks to coach yourself so that you can deliver a talk that is natural, engaging, and motivating. You will be able to complete the whole crash course within 30 minutes. You should take this course if you want to have a gain a better overview of what happens behind the talk. You see TED Talk speakers nailing it, but there is a lot of work happening to get there. In this crash course, you will learn the basics to get on your way. Download link: http://rapidgator.net/file/c012668e9436ff4ffeb47f3a0b61c246/hypm2.Communicate.The.Crash.Course.on.Public.Speaking.rar.html http://nitroflare.com/view/A749DC266DB92B8/hypm2.Communicate.The.Crash.Course.on.Public.Speaking.rar https://uploadgig.com/file/download/1dffaa2f46d6a2e6/hypm2.Communicate.The.Crash.Course.on.Public.Speaking.rar http://uploaded.net/file/pffa9ngb/hypm2.Communicate.The.Crash.Course.on.Public.Speaking.rar Links are Interchangeable - No Password - Single Extraction

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The Best of Office 365: The Complete Crash Course MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6.5 Hours | Lec: 42 | 3.06 GB Genre: eLearning | Language: English OneDrive, Word, Excel, PowerPoint, Office Mix, Outlook, OneNote, Office Lens, Docs-com and Sway in 6.5 hours. This is a course about using Microsoft Office 365 on your PC, Mac, tablet, or Smartphone. It covers all of the mainstream applications that most schools and office environments demand: Word, Excel, Outlook, and PowerPoint. You'll also learn to use the exciting newer features of Office 365 including OneDrive, OneNote, and the new capabilities for publishing interactive content online, for free, without a website and without knowledge of web design. This not a course for people who want to specialize in computers, but rather for people who need to use a computer as part of their non-computer job or coursework. 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HTML Web Development Crash Course MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | Lec: 17 | 510 MB Genre: eLearning | Language: English Learn how to create websites and web applications for the internet. Learn how to create websites. A step by step process is used to show everything from setting up to essential HTML features. Gain a good understanding of the following concepts: HTML programming Web programming Basic/essential HTML tags Website basics Integrating media into a website Basic CSS and JavaScript HTML is one of the core universal programming languages of the web that is essential for any web development journey. The web is growing on a daily basis and knowing HTML is more crucial than ever. You will be provided with the full source code to aid in development during and after this course. The source code is free to use in as many projects as you wish. Download link: http://rapidgator.net/file/020406faae75d2631aa81769925e5be9/xila7.HTML.Web.Development.Crash.Course.2016.rar.html]xila7.HTML.Web.Development.Crash.Course.2016.rar.html http://nitroflare.com/view/22B97C1606B06ED/xila7.HTML.Web.Development.Crash.Course.2016.rar]xila7.HTML.Web.Development.Crash.Course.2016.rar http://uploaded.net/file/61j1cp4m/xila7.HTML.Web.Development.Crash.Course.2016.rar]xila7.HTML.Web.Development.Crash.Course.2016.rar https://www.bigfile.to/file/2EH9mzTKxZyC/xila7.HTML.Web.Development.Crash.Course.2016.rar]xila7.HTML.Web.Development.Crash.Course.2016.rar Links are Interchangeable - No Password - Single Extraction

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A section each is dedicated to setting up your environment; data types and their uses; variables, expressions and operators; statements and flow control; organisation; classes and structs; inheritance; interfaces, and so much more. All you need to get started is a basic understanding of programming and a familiarity with the concept of object-oriented programming (don't worry if you don't have any actual experience). Suitable for beginners and intermediates alike, by the end of this course you'll have a solid understanding of C#, its strengths and weaknesses, what projects you can use it for, and you'll be more than ready to start using it in the real world. What is C#? C# is an object-oriented programming language from Microsoft's C family of languages. It is a hybrid of C and C++ and was designed to improve productivity in web app development. 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Stone River Learning - C# Programming Crash Course Duration: 9h 2m | | Video: h264, yuv420p, 1920x1080 | Audio: aac, 44100 Hz, 2 ch | 2.2 GB Genre: eLearning | Language: English Knowing the suite of C languages developed my Microsoft is a guaranteed career booster. They're powerful, in-demand, and can create almost any kind of application or software under the sun. However, they're not exactly the most beginner friendly languages in the world. While they all have the same roots, they have distinct differences too. Thankfully C# is generally considered to be the least confusing of the family, and a level up from Java as far as skill is concerned. This crash course will teach you everything you need to know and make you a C# aficionado in a matter of hours. Get an A+ in C# Programming Understand C# fundamentals Create games with C# and Unity Develop mobile apps with C# and Xamarin Build software with C#, Mono and Windows Forms Make websites with C# and ASP.NET Create console applications Everything You Need to Get up to Speed C# is a great language, but it's not perfect. With that in mind, this online course will start off by outlining what exactly C# is good at, and where its weaknesses lie. Following that we'll take a look at the various platforms that utilize C#, which you'll be using during the course to complete a wide variety of projects. After that there's nothing left to do but dive straight in. Step by step, section by section, you'll build your knowledge of C# with practical projects along the way to put your developing skills into practice. A section each is dedicated to setting up your environment; data types and their uses; variables, expressions and operators; statements and flow control; organisation; classes and structs; inheritance; interfaces, and so much more. All you need to get started is a basic understanding of programming and a familiarity with the concept of object-oriented programming (don't worry if you don't have any actual experience). Suitable for beginners and intermediates alike, by the end of this course you'll have a solid understanding of C#, its strengths and weaknesses, what projects you can use it for, and you'll be more than ready to start using it in the real world. What is C#? C# is an object-oriented programming language from Microsoft's C family of languages. It is a hybrid of C and C++ and was designed to improve productivity in web app development. 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