[FreeCoursesOnline.Me] [Packt] Building Recommendation Systems with Python [FCO]
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2021-2-12 18:05 | 2024-6-10 01:34 | 229 | 562.92 MB | 25 |
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文件列表
- 01.Get Started with Text Mining and Cleaning Data/0101.The Course Overview.mp439.39MB
- 01.Get Started with Text Mining and Cleaning Data/0102.Exploring Recommendation Engines.mp470.49MB
- 01.Get Started with Text Mining and Cleaning Data/0103.Working with Variables You Are Taking into Consideration.mp48.48MB
- 01.Get Started with Text Mining and Cleaning Data/0104.Setting Up Your Working Environment.mp416.41MB
- 01.Get Started with Text Mining and Cleaning Data/0105.Understanding Text Data Source and Variables.mp426.16MB
- 01.Get Started with Text Mining and Cleaning Data/0106.Imputation Methods for Missing Data.mp415.65MB
- 02.Collaborative Filtering-Based Recommender System/0201.Understanding Collaborative Filtering.mp45.59MB
- 02.Collaborative Filtering-Based Recommender System/0202.Exploring the Required Functions – Logic.mp44.08MB
- 02.Collaborative Filtering-Based Recommender System/0203.Implementation of CF Recommender System.mp45.6MB
- 02.Collaborative Filtering-Based Recommender System/0204.Applying the CF Algorithm to the IMDBs Dataset.mp49.85MB
- 02.Collaborative Filtering-Based Recommender System/0205.Evaluating the Collaborative Filtering Recommender.mp49.12MB
- 03.Content and Popularity Based Recommender Systems/0301.Understanding Content-Based Recommender System.mp46.37MB
- 03.Content and Popularity Based Recommender Systems/0302.Implementing the Content-Based Recommender System.mp418.87MB
- 03.Content and Popularity Based Recommender Systems/0303.Understanding Popularity-Based Recommender System.mp410.29MB
- 03.Content and Popularity Based Recommender Systems/0304.Implementing the Popularity-Based Recommender System.mp49.58MB
- 03.Content and Popularity Based Recommender Systems/0305.Evaluating Content-Based and Popularity-Based Recommender Systems.mp410.26MB
- 04.Hybrid Recommender System/0401.Exploring Hybrid Filtering Techniques.mp49.16MB
- 04.Hybrid Recommender System/0402.Working with the Required Functions – Logic.mp46.93MB
- 04.Hybrid Recommender System/0403.Algorithm Implementation for Hybrid Recommender System.mp45.11MB
- 04.Hybrid Recommender System/0404.Implementation of the Hybrid Recommender System.mp415.56MB
- 04.Hybrid Recommender System/0405.Evaluating the Hybrid Recommender System.mp47.38MB
- 05.Flask Web Application Using PyCharm/0501.Understanding the Web Framework – Flask.mp48.62MB
- 05.Flask Web Application Using PyCharm/0502.Setting Up the Integrated Development Environment.mp416.08MB
- 05.Flask Web Application Using PyCharm/0503.Creating a Web Application Using Flask.mp477.54MB
- 05.Flask Web Application Using PyCharm/0504.Implementation of a Web Application Using Flask.mp4150.34MB
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