[FreeCoursesOnline.Me] [Packt] Building Recommendation Systems with Python [FCO]

磁力链接/BT种子名称

[FreeCoursesOnline.Me] [Packt] Building Recommendation Systems with Python [FCO]

磁力链接/BT种子简介

种子哈希：a1e3ba67cf7d3eea1b7cad43b68094dcbc089c83
文件大小：572.07M
已经下载：1507次
下载速度：极快
收录时间：2022-01-17
最近下载：2025-11-17

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文件列表

  • 05.Flask Web Application Using PyCharm/0504.Implementation of a Web Application Using Flask.mp4 157.6 MB
  • 05.Flask Web Application Using PyCharm/0503.Creating a Web Application Using Flask.mp4 81.3 MB
  • 01.Get Started with Text Mining and Cleaning Data/0102.Exploring Recommendation Engines.mp4 73.9 MB
  • 01.Get Started with Text Mining and Cleaning Data/0101.The Course Overview.mp4 41.3 MB
  • 01.Get Started with Text Mining and Cleaning Data/0105.Understanding Text Data Source and Variables.mp4 27.4 MB
  • 03.Content and Popularity Based Recommender Systems/0302.Implementing the Content-Based Recommender System.mp4 19.8 MB
  • 01.Get Started with Text Mining and Cleaning Data/0104.Setting Up Your Working Environment.mp4 17.2 MB
  • 05.Flask Web Application Using PyCharm/0502.Setting Up the Integrated Development Environment.mp4 16.9 MB
  • 01.Get Started with Text Mining and Cleaning Data/0106.Imputation Methods for Missing Data.mp4 16.4 MB
  • 04.Hybrid Recommender System/0404.Implementation of the Hybrid Recommender System.mp4 16.3 MB
  • 03.Content and Popularity Based Recommender Systems/0303.Understanding Popularity-Based Recommender System.mp4 10.8 MB
  • 03.Content and Popularity Based Recommender Systems/0305.Evaluating Content-Based and Popularity-Based Recommender Systems.mp4 10.8 MB
  • 02.Collaborative Filtering-Based Recommender System/0204.Applying the CF Algorithm to the IMDBs Dataset.mp4 10.3 MB
  • 03.Content and Popularity Based Recommender Systems/0304.Implementing the Popularity-Based Recommender System.mp4 10.0 MB
  • 04.Hybrid Recommender System/0401.Exploring Hybrid Filtering Techniques.mp4 9.6 MB
  • Exercise Files/exercise_files.zip 9.6 MB
  • 02.Collaborative Filtering-Based Recommender System/0205.Evaluating the Collaborative Filtering Recommender.mp4 9.6 MB
  • 05.Flask Web Application Using PyCharm/0501.Understanding the Web Framework – Flask.mp4 9.0 MB
  • 01.Get Started with Text Mining and Cleaning Data/0103.Working with Variables You Are Taking into Consideration.mp4 8.9 MB
  • 04.Hybrid Recommender System/0405.Evaluating the Hybrid Recommender System.mp4 7.7 MB
  • 04.Hybrid Recommender System/0402.Working with the Required Functions – Logic.mp4 7.3 MB
  • 03.Content and Popularity Based Recommender Systems/0301.Understanding Content-Based Recommender System.mp4 6.7 MB
  • 02.Collaborative Filtering-Based Recommender System/0203.Implementation of CF Recommender System.mp4 5.9 MB
  • 02.Collaborative Filtering-Based Recommender System/0201.Understanding Collaborative Filtering.mp4 5.9 MB
  • 04.Hybrid Recommender System/0403.Algorithm Implementation for Hybrid Recommender System.mp4 5.4 MB
  • 02.Collaborative Filtering-Based Recommender System/0202.Exploring the Required Functions – Logic.mp4 4.3 MB
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