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

• [FreeCoursesOnline.Me] [Packt] Building Recommendation Systems with Python [FCO]
• 0. Websites you may like/How you can help Team-FTU.txt 237 B
• 01.Get Started with Text Mining and Cleaning Data/0101.The Course Overview.mp4 39.4 MB
• 01.Get Started with Text Mining and Cleaning Data/0102.Exploring Recommendation Engines.mp4 70.5 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 16.4 MB
• 01.Get Started with Text Mining and Cleaning Data/0105.Understanding Text Data Source and Variables.mp4 26.2 MB
• 01.Get Started with Text Mining and Cleaning Data/0106.Imputation Methods for Missing Data.mp4 15.7 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 18.9 MB
• 03.Content and Popularity Based Recommender Systems/0303.Understanding Popularity-Based Recommender System.mp4 10.3 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 10.3 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 15.6 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 16.1 MB
• 05.Flask Web Application Using PyCharm/0503.Creating a Web Application Using Flask.mp4 77.5 MB
• 05.Flask Web Application Using PyCharm/0504.Implementation of a Web Application Using Flask.mp4 150.3 MB
• Exercise Files/exercise_files.zip 9.1 MB

No comments yet.