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

大小 572.07 MB

文件数 32

Info Hash: A1E3BA67CF7D3EEA1B7CAD43B68094DCBC089C83

收录时间 2026-01-03 18:50:08

更新时间 2026-01-03 18:50:08

文件列表 (32)

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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0. Websites you may like/How you can help Team-FTU.txt

237 B

Exercise Files/exercise_files.zip

9.15 MB

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