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Free Download Data Wrangling with Python 3 Duration: 1h 20m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 304 MB Genre: eLearning | Language: English In this course, Data Wrangling with Python 3, you'll learn about various functions and procedures that will help you get your data in order, providing a clean and well-constructed dataset for further data analysis and machine learning. Machine Learning and Data analytics in general follows the garbage-in/garbage-out principle. If you want to learn from or predict based on your data, you need to make sure that data is well constructed and cleaned. This course, Data Wrangling with Python 3, is aimed at helping you do exactly that. First, you'll see how to merge data from different sources using the methods concat, append, and merge. Next, you'll discover how to combine data into groups. The primary function used here is groupby. In the next two sections, you'll explore how to transform and normalize data. You'll learn why these processes are necessary, and then proceed to see how they work in practice. Finally, you'll examine important processes such as One Hot Encoding, which enables further processing during data analysis. When you're finished with this course, you'll have thorough knowledge of data wrangling which will help you immensely during your data analysis and machine learning projects. Homepage https://www.pluralsight.com/courses/data-wrangling-python TakeFile https://takefile.link/zoqwpe8g9sed/ddmsr.Data.Wrangling.with.Python.3.rar.html Rapidgator https://rg.to/file/0f131e085d285eaaefc22e2e2132ba4c/ddmsr.Data.Wrangling.with.Python.3.rar.html Fikper Free Download https://fikper.com/7HgUFd95ix/ddmsr.Data.Wrangling.with.Python.3.rar.html No Password - Links are Interchangeable
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Data Wrangling and Analysis with Python Training Video 2016-06-15 | SKU: 02364 | .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 3.5 hours | 1.41 GB Instructor: Katharine Jarmul Discover the data analysis capabilities of the Python Pandas software library in this introduction to data wrangling and data analytics. Designed for learners with some core knowledge of Python, you'll explore the basics of importing, exporting, parsing, cleaning, analyzing, and visualizing data. The course focuses on Pandas, where you'll learn to filter, group, match, and join data and then move on to advanced functions like analyzing trends and normalizing your data. There is also an introduction to some nifty skills like web scraping, working with API data, fuzzy matching, multiprocessing, and analyzing code performance. - Master the basics of Python data wrangling and data analysis - Discover the Pandas software library and its use as a data analysis tool - Learn to pull data from disparate sources (Excel, CSV, PDF, APIs, etc.) - Explore web scraping and how to handle encoding and decoding - Understand how to identify and clean data using RegEx and fuzzy matching - Sample other data analysis tools like natural language processing and Numpy - Learn the data visualization capabilities of MatDescriptionlib and Bokeh Download link: http://rapidgator.net/file/42d8258767262a25ecbba230d2afcc3f/4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar.html]4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar.html http://rapidgator.net/file/34cc674d212389c2935fc78e71450ff9/4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar.html]4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar.html http://nitroflare.com/view/6723448C1EE9BCF/4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar]4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar http://nitroflare.com/view/D517214276F9036/4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar]4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar http://uploaded.net/file/23nz55ft/4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar]4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar http://uploaded.net/file/0p3tlda7/4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar]4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar https://www.bigfile.to/file/unJZhSSYKnM7/4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar]4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar https://www.bigfile.to/file/EFGXa9AFeMwG/4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar]4tkmi.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar Links are Interchangeable - No Password - Single Extraction
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Data Wrangling and Analysis with Python Training Video 2016-06-15 | SKU: 02364 | .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 3.5 hours | 1.41 GB Instructor: Katharine Jarmul Discover the data analysis capabilities of the Python Pandas software library in this introduction to data wrangling and data analytics. Designed for learners with some core knowledge of Python, you'll explore the basics of importing, exporting, parsing, cleaning, analyzing, and visualizing data. The course focuses on Pandas, where you'll learn to filter, group, match, and join data and then move on to advanced functions like analyzing trends and normalizing your data. There is also an introduction to some nifty skills like web scraping, working with API data, fuzzy matching, multiprocessing, and analyzing code performance. - Master the basics of Python data wrangling and data analysis - Discover the Pandas software library and its use as a data analysis tool - Learn to pull data from disparate sources (Excel, CSV, PDF, APIs, etc.) - Explore web scraping and how to handle encoding and decoding - Understand how to identify and clean data using RegEx and fuzzy matching - Sample other data analysis tools like natural language processing and Numpy - Learn the data visualization capabilities of Matplotlib and Bokeh DOWNLOAD http://rapidgator.net/file/700362b8e202ba5cd40c106df1d73624/hqme7.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar.html http://rapidgator.net/file/5ed411b9d73dc7462d609fe8a3217bb3/hqme7.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar.html http://uploaded.net/file/pkaucbeg/hqme7.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar http://uploaded.net/file/g6jyo71u/hqme7.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar https://www.bigfile.to/file/QrtG3B5QcZ4R/hqme7.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar https://www.bigfile.to/file/w6XePPFQ8Qt9/hqme7.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar http://nitroflare.com/view/EE6FF94D2A1B338/hqme7.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar http://nitroflare.com/view/28495790863B5A2/hqme7.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar http://uploadgig.com/file/download/cb8c40f49Ee0977b/hqme7.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar http://uploadgig.com/file/download/B87c8f9290AebB86/hqme7.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar
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Data Wrangling and Analysis with Python Training Video Duration: 3.5 hours | Video: h264, yuv420p, 1280x720 30fps | Audio: aac, 44100 Hz, 2ch | | 1.41 GB Genre: eLearning | Language: English | Project Files Discover the data analysis capabilities of the Python Pandas software library in this introduction to data wrangling and data analytics. Designed for learners with some core knowledge of Python, you'll explore the basics of importing, exporting, parsing, cleaning, analyzing, and visualizing data.The course focuses on Pandas, where you'll learn to filter, group, match, and join data and then move on to advanced functions like analyzing trends and normalizing your data. There is also an introduction to some nifty skills like web scraping, working with API data, fuzzy matching, multiprocessing, and analyzing code performance.- Master the basics of Python data wrangling and data analysis - Discover the Pandas software library and its use as a data analysis tool - Learn to pull data from disparate sources (Excel, CSV, PDF, APIs, etc.) - Explore web scraping and how to handle encoding and decoding - Understand how to identify and clean data using RegEx and fuzzy matching - Sample other data analysis tools like natural language processing and Numpy - Learn the data visualization capabilities of MatDescriptionlib and Bokeh Download link: http://rapidgator.net/file/74e3b1b99868a63e98b9694b846e2f24/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar.html]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar.html http://rapidgator.net/file/108412220ab83a35103902c5e54c767d/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar.html]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar.html http://rapidgator.net/file/9ab1cd10b480b02493c2ea77ada8d4d0/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part3.rar.html]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part3.rar.html http://nitroflare.com/view/499B9F1FE1BAE23/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar http://nitroflare.com/view/093D013CAE906BA/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar http://nitroflare.com/view/32EC610D82CABDF/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part3.rar]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part3.rar http://uploaded.net/file/k0kv7wkt/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar http://uploaded.net/file/61ifxvc7/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar http://uploaded.net/file/epekfwdt/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part3.rar]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part3.rar https://www.bigfile.to/file/Kt4jar5pBRng/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part1.rar https://www.bigfile.to/file/zBnEdsBa7rNU/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part2.rar https://www.bigfile.to/file/zQrKmJ6E3gWW/1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part3.rar]1vd4k.Data.Wrangling.and.Analysis.with.Python.Training.Video.part3.rar Links are Interchangeable - No Password - Single Extraction
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OReilly - Expert Data Wrangling with R English | aac, 44100 Hz, stereo | h264, yuv420p, 1920x1080, 29.97 fps® | 3.02 Gb Genre: eLearning Analysts often spend 50-80% of their time preparing and transforming data sets before they begin more formal analysis work. This video tutorial shows you how to streamline your code-and your thinking-by introducing a set of prin[beeep]les and R packages that make this work much faster and easier. Garrett Grolemund, Data Scientist and Master Instructor at RStudio, demonstrates how R and its packages help you tackle three main issues: Data Manipulation. Data sets contain more information than they display. By transforming your data, you can reveal a wealth of descriptive statistics, group level observations, and hidden variables. R's dplyr package provides optimized functions to help you transform data, as well as a pipe syntax that makes R code more concise and intuitive. Data Tidying. Data sets come in many formats, but R prefers just one. R runs quickly and intuitively when your data is stored in the tidy format, a layout that allows vectorized programming. R's tidyr package reshapes the layout of your data sets, making them tidy while preserving the relationships they contain. Data Visualization. The structure of data visualizations parallels the structure of data sets. Once your data is tidy, visualizations become straightforward: each observation in your dataset becomes a mark on a graph, each variable becomes a visual property of the marks. The result is a grammar of graphics that lets you create thousands of graphs. R's ggvis package implements the grammar, providing a system of data visualization for R. Garrett Grolemund is a Data Scientist and Master Instructor at RStudio. Garrett maintains the lubridate R package and is the author of Hands-On Programming with R and the upcoming Data Science with R (both O'Reilly books). DOWNLOAD http://rapidgator.net/file/067cc2dfe7088822720168934bab1c2a/Expert_Data_Wrangling.part1.rar.html http://rapidgator.net/file/1ec42e24cc974c1e526470fb1aafac81/Expert_Data_Wrangling.part2.rar.html http://rapidgator.net/file/ef135f111669500c3ea374517178f3b6/Expert_Data_Wrangling.part3.rar.html http://rapidgator.net/file/fc85f607f257a25e7fa73d1b02f9de15/Expert_Data_Wrangling.part4.rar.html http://rapidgator.net/file/61ccfa47e5ca6c5c256664cc6e1f168f/Expert_Data_Wrangling.part5.rar.html http://rapidgator.net/file/8a4c06dafff15a6a57a469b35307e835/Expert_Data_Wrangling.part6.rar.html http://rapidgator.net/file/065ecbd965debe383f567640e4ce5c2e/Expert_Data_Wrangling.part7.rar.html http://uploaded.net/file/zzsp7yyp/Expert_Data_Wrangling.part1.rar http://uploaded.net/file/rflqcp42/Expert_Data_Wrangling.part2.rar http://uploaded.net/file/qmihcw1y/Expert_Data_Wrangling.part3.rar http://uploaded.net/file/fzxjn3gm/Expert_Data_Wrangling.part4.rar http://uploaded.net/file/3zmpntjf/Expert_Data_Wrangling.part5.rar http://uploaded.net/file/khoujyem/Expert_Data_Wrangling.part6.rar http://uploaded.net/file/13sr29co/Expert_Data_Wrangling.part7.rar http://www.uploadable.ch/file/KjGkjjhuPwuX/Expert_Data_Wrangling.part1.rar http://www.uploadable.ch/file/nVTTCaeAeJEc/Expert_Data_Wrangling.part2.rar http://www.uploadable.ch/file/eVyRk7dhVsQB/Expert_Data_Wrangling.part3.rar http://www.uploadable.ch/file/tacSpNYZ6FXY/Expert_Data_Wrangling.part4.rar http://www.uploadable.ch/file/jW4kdbxzgPqx/Expert_Data_Wrangling.part5.rar http://www.uploadable.ch/file/8HbyfSMAr4WH/Expert_Data_Wrangling.part6.rar http://www.uploadable.ch/file/5jXh9Zmuw5Vw/Expert_Data_Wrangling.part7.rar http://www.hitfile.net/3xIf/Expert_Data_Wrangling.part1.rar.html http://www.hitfile.net/3xZl/Expert_Data_Wrangling.part2.rar.html http://www.hitfile.net/3tmI/Expert_Data_Wrangling.part3.rar.html http://www.hitfile.net/3xUC/Expert_Data_Wrangling.part4.rar.html http://www.hitfile.net/3vs1/Expert_Data_Wrangling.part5.rar.html http://www.hitfile.net/3sSs/Expert_Data_Wrangling.part6.rar.html http://www.hitfile.net/3zoT/Expert_Data_Wrangling.part7.rar.html
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OReilly - Expert Data Wrangling with R With Garrett Grolemund English | February 2015 | Audio: aac, 44100 Hz, stereo | Video: h264, yuv420p, 1920x1080, 29.97 fps® | 3.02 GB Genre: E-learning Analysts often spend 50-80% of their time preparing and transforming data sets before they begin more formal analysis work. This video tutorial shows you how to streamline your code-and your thinking-by introducing a set of prin[beeep]les and R packages that make this work much faster and easier. Garrett Grolemund, Data Scientist and Master Instructor at RStudio, demonstrates how R and its packages help you tackle three main issues: Data Manipulation. Data sets contain more information than they display. By transforming your data, you can reveal a wealth of descriptive statistics, group level observations, and hidden variables. R's dplyr package provides optimized functions to help you transform data, as well as a pipe syntax that makes R code more concise and intuitive. Data Tidying. Data sets come in many formats, but R prefers just one. R runs quickly and intuitively when your data is stored in the tidy format, a layout that allows vectorized programming. R's tidyr package reshapes the layout of your data sets, making them tidy while preserving the relationships they contain. Data Visualization. The structure of data visualizations parallels the structure of data sets. Once your data is tidy, visualizations become straightforward: each observation in your dataset becomes a mark on a graph, each variable becomes a visual property of the marks. The result is a grammar of graphics that lets you create thousands of graphs. R's ggvis package implements the grammar, providing a system of data visualization for R. Garrett Grolemund is a Data Scientist and Master Instructor at RStudio. Garrett maintains the lubridate R package and is the author of Hands-On Programming with R and the upcoming Data Science with R (both O'Reilly books). 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