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Total Training - Machine Learning - Python Programming From Beginner to Intermediate

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种子名称: Total Training - Machine Learning - Python Programming From Beginner to Intermediate
文件类型: 视频
文件数目: 55个文件
文件大小: 3.05 GB
收录时间: 2021-7-4 06:34
已经下载: 3
资源热度: 188
最近下载: 2024-6-8 23:16

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Total Training - Machine Learning - Python Programming From Beginner to Intermediate.torrent
  • 01 - Introduction.mp457.46MB
  • 02 - Coding is Like Cooking.mp4127.09MB
  • 03 - Anaconda & Pip.mp437.62MB
  • 04 - Variables are Like Containers.mp460.22MB
  • 05 - A List is a List.mp445.98MB
  • 06 - Fun with Lists!.mp428.89MB
  • 07 - Dictionaries & If-Else.mp439.09MB
  • 08 - Don't Jump through Hoops - Use Loops.mp419.92MB
  • 09 - Doing Stuff with Loops.mp435.66MB
  • 10 - Everything in Life is a List - Strings as Lists.mp422.68MB
  • 11 - Modules are Cool for Code-Reuse.mp410.2MB
  • 12 - Our First Serious Program - Downloading a Webpage.mp463.74MB
  • 13 - A Few Details - Conditionals.mp442.42MB
  • 14 - A Few Details - Exception Handling in Python.mp443.09MB
  • 15 - A File is Like a Barrel.mp467.59MB
  • 16 - Auto-Generating Spreadsheets with Python.mp446.8MB
  • 17 - Auto-Generating Spreadsheets - Download & Unzip.mp472.2MB
  • 18 - Auto-Generating Spreadsheets - Parcing CSV Files.mp459.03MB
  • 19 - Auto-Generating Spreadsheets with XLSXwriter.mp415.36MB
  • 20 - Functions are Like Food Processors.mp451.69MB
  • 21 - Argument Passing in Functions.mp476.37MB
  • 22 - Writing Your First Function.mp444.01MB
  • 23 - Recursion.mp485.55MB
  • 24 - Recursion in Action.mp421.56MB
  • 25 - How Would You Implement a Bank ATM.mp494.49MB
  • 26 - Things You Can Do with Databases - I.mp494.4MB
  • 27 - Things You Can Do with Databases - II.mp441.07MB
  • 28 - Interfacing with Databases from Python.mp442.86MB
  • 29 - SQLite Works Right out of the Box.mp427.21MB
  • 30 - Manually Downloading the ZIP Files Required.mp411.73MB
  • 31 - Build a Database of Stock Movements - I.mp4101.34MB
  • 32 - Build a Database of Stock Movements - II.mp467.18MB
  • 33 - Build a Database of Stock Movements - III.mp462.9MB
  • 34 - Objects are Like Puppies!.mp446.14MB
  • 35 - A Class is a Type of Variable.mp493.65MB
  • 36 - An Interface Drives Behavior.mp469.64MB
  • 37 - Natural Language Processing with NLTK.mp433.56MB
  • 38 - Natural Language Processing with NLTK - See It in Action.mp451.91MB
  • 39 - Web Scraping with BeautifulSoup.mp467.16MB
  • 40 - A Serious NLP Application - Text Auto-Summarization Using Python.mp459.01MB
  • 41 - Auto-Summarize News Articles - I.mp456.02MB
  • 42 - Auto-Summarize News Articles - II.mp453.58MB
  • 43 - Auto-Summarize News Articles - III.mp4126.52MB
  • 44 - Machine Learning - Jump on the Bandwagon.mp477.52MB
  • 45 - Plunging In - Machine Learning Approaches to Spam Detection.mp475.07MB
  • 46 - Spam Detection with Machine Learning - Continued.mp489.96MB
  • 47 - News Article Classification Using K-Nearest Neighbors.mp498.25MB
  • 48 - News Article Classification Using Naive Bayes.mp494.75MB
  • 49 - Code Along - Scraping News Websites.mp454.28MB
  • 50 - Code Along - Feature Extraction from News Articles.mp458.45MB
  • 51 - Code Along - Classification with K-Nearest Neighbors.mp414.83MB
  • 52 - Code Along - Classification with Naïve Bayes.mp429.25MB
  • 53 - Document Distance Using TF-IDF.mp451.79MB
  • 54 - News Article Clustering with K-Means & TF-IDF.mp467.03MB
  • 55 - Code Along - Clustering with K-Means.mp437.75MB