种子简介

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次
资源热度： 228
最近下载： 2024-12-28 04:12

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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