[FreeCoursesOnline.Me] [Packt] Building Recommendation Systems with Python [FCO]番号下载_[FreeCoursesOnline.Me] [Packt] Building Recommendation Systems with Python [FCO]番号下载_[FreeCoursesOnline.Me] [Packt] Building Recommendation Systems with Python [FCO]下载

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

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种子名称： [FreeCoursesOnline.Me] [Packt] Building Recommendation Systems with Python [FCO]
文件类型：视频
文件数目： 25个文件
文件大小： 562.92 MB
收录时间： 2021-2-12 18:05
已经下载： 3次
资源热度： 301
最近下载： 2024-12-30 21:06

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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