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[FreeCoursesOnline.Me] [Packt] Building Recommendation Systems with Python [FCO]
magnet:?xt=urn:btih:a1e3ba67cf7d3eea1b7cad43b68094dcbc089c83&dn=[FreeCoursesOnline.Me] [Packt] Building Recommendation Systems with Python [FCO]
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Hash值:
a1e3ba67cf7d3eea1b7cad43b68094dcbc089c83
点击数:
230
文件大小:
562.92 MB
文件数量:
25
创建日期:
2021-2-12 18:05
最后访问:
2024-6-10 21:01
访问标签:
FreeCoursesOnline
Me
Packt
Building
Recommendation
Systems
with
Python
FCO
文件列表详情
01.Get Started with Text Mining and Cleaning Data/0101.The Course Overview.mp4 39.39 MB
01.Get Started with Text Mining and Cleaning Data/0102.Exploring Recommendation Engines.mp4 70.49 MB
01.Get Started with Text Mining and Cleaning Data/0103.Working with Variables You Are Taking into Consideration.mp4 8.48 MB
01.Get Started with Text Mining and Cleaning Data/0104.Setting Up Your Working Environment.mp4 16.41 MB
01.Get Started with Text Mining and Cleaning Data/0105.Understanding Text Data Source and Variables.mp4 26.16 MB
01.Get Started with Text Mining and Cleaning Data/0106.Imputation Methods for Missing Data.mp4 15.65 MB
02.Collaborative Filtering-Based Recommender System/0201.Understanding Collaborative Filtering.mp4 5.59 MB
02.Collaborative Filtering-Based Recommender System/0202.Exploring the Required Functions – Logic.mp4 4.08 MB
02.Collaborative Filtering-Based Recommender System/0203.Implementation of CF Recommender System.mp4 5.6 MB
02.Collaborative Filtering-Based Recommender System/0204.Applying the CF Algorithm to the IMDBs Dataset.mp4 9.85 MB
02.Collaborative Filtering-Based Recommender System/0205.Evaluating the Collaborative Filtering Recommender.mp4 9.12 MB
03.Content and Popularity Based Recommender Systems/0301.Understanding Content-Based Recommender System.mp4 6.37 MB
03.Content and Popularity Based Recommender Systems/0302.Implementing the Content-Based Recommender System.mp4 18.87 MB
03.Content and Popularity Based Recommender Systems/0303.Understanding Popularity-Based Recommender System.mp4 10.29 MB
03.Content and Popularity Based Recommender Systems/0304.Implementing the Popularity-Based Recommender System.mp4 9.58 MB
03.Content and Popularity Based Recommender Systems/0305.Evaluating Content-Based and Popularity-Based Recommender Systems.mp4 10.26 MB
04.Hybrid Recommender System/0401.Exploring Hybrid Filtering Techniques.mp4 9.16 MB
04.Hybrid Recommender System/0402.Working with the Required Functions – Logic.mp4 6.93 MB
04.Hybrid Recommender System/0403.Algorithm Implementation for Hybrid Recommender System.mp4 5.11 MB
04.Hybrid Recommender System/0404.Implementation of the Hybrid Recommender System.mp4 15.56 MB
04.Hybrid Recommender System/0405.Evaluating the Hybrid Recommender System.mp4 7.38 MB
05.Flask Web Application Using PyCharm/0501.Understanding the Web Framework – Flask.mp4 8.62 MB
05.Flask Web Application Using PyCharm/0502.Setting Up the Integrated Development Environment.mp4 16.08 MB
05.Flask Web Application Using PyCharm/0503.Creating a Web Application Using Flask.mp4 77.54 MB
05.Flask Web Application Using PyCharm/0504.Implementation of a Web Application Using Flask.mp4 150.34 MB
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