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

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File Name
Size
01.Get Started with Text Mining and Cleaning Data/0101.The Course Overview.mp4
39 MB
01.Get Started with Text Mining and Cleaning Data/0102.Exploring Recommendation Engines.mp4
70 MB
01.Get Started with Text Mining and Cleaning Data/0103.Working with Variables You Are Taking into Consideration.mp4
8.5 MB
01.Get Started with Text Mining and Cleaning Data/0104.Setting Up Your Working Environment.mp4
16 MB
01.Get Started with Text Mining and Cleaning Data/0105.Understanding Text Data Source and Variables.mp4
26 MB
01.Get Started with Text Mining and Cleaning Data/0106.Imputation Methods for Missing Data.mp4
16 MB
02.Collaborative Filtering-Based Recommender System/0201.Understanding Collaborative Filtering.mp4
5.6 MB
02.Collaborative Filtering-Based Recommender System/0202.Exploring the Required Functions – Logic.mp4
4.1 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
9.9 MB
02.Collaborative Filtering-Based Recommender System/0205.Evaluating the Collaborative Filtering Recommender.mp4
9.1 MB
03.Content and Popularity Based Recommender Systems/0301.Understanding Content-Based Recommender System.mp4
6.4 MB
03.Content and Popularity Based Recommender Systems/0302.Implementing the Content-Based Recommender System.mp4
19 MB
03.Content and Popularity Based Recommender Systems/0303.Understanding Popularity-Based Recommender System.mp4
10 MB
03.Content and Popularity Based Recommender Systems/0304.Implementing the Popularity-Based Recommender System.mp4
9.6 MB
03.Content and Popularity Based Recommender Systems/0305.Evaluating Content-Based and Popularity-Based Recommender Systems.mp4
10 MB
04.Hybrid Recommender System/0401.Exploring Hybrid Filtering Techniques.mp4
9.2 MB
04.Hybrid Recommender System/0402.Working with the Required Functions – Logic.mp4
6.9 MB
04.Hybrid Recommender System/0403.Algorithm Implementation for Hybrid Recommender System.mp4
5.1 MB
04.Hybrid Recommender System/0404.Implementation of the Hybrid Recommender System.mp4
16 MB
04.Hybrid Recommender System/0405.Evaluating the Hybrid Recommender System.mp4
7.4 MB
05.Flask Web Application Using PyCharm/0501.Understanding the Web Framework – Flask.mp4
8.6 MB
05.Flask Web Application Using PyCharm/0502.Setting Up the Integrated Development Environment.mp4
16 MB
05.Flask Web Application Using PyCharm/0503.Creating a Web Application Using Flask.mp4
78 MB
05.Flask Web Application Using PyCharm/0504.Implementation of a Web Application Using Flask.mp4
150 MB
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237 B
Exercise Files/exercise_files.zip
9.1 MB