1.1 What's ML-1.mp4play1.2 What's ML-2.mp4play1.3 What's ML-3.mp4play1.4 Data Preprocess-1.mp4play1.5 Data Preprocess-2.mp4play2.1 ML's Environment Configuration.mp4play2.2 The library of ML-1.mp4play2.3 The library of ML-2.mp4play2.4 The library of ML-3.mp4play3.1 The Principles of Association Rules-1.mp4play3.2 The Principles of Association Rules-2.mp4play3.3 The example of Association Rules.mp4play3.4 Recommendation algorithm-1.mp4play3.5 Recommendation algorithm-2.mp4play3.6 Recommend an instance of the algorithm.mp4play4.1 Overview of clustering algorithms-1.mp4play4.2 Overview of clustering algorithms-2.mp4play4.3 K-Means clustering algorithm principle.mp4play4.4 Example of the K-Means clustering algorithm.mp4play4.5 Principles of DBSCAN clustering algorithm-1.mp4play4.6 Principles of DBSCAN clustering algorithm-2.mp4play4.7 DBSCAN clustering algorithm example.mp4play5.1 Overview of classification algorithms.mp4play5.2 Decision tree algorithm principle.mp4play5.3 Decision tree algorithm instance.mp4play5.4 Random forest algorithm principle.mp4play5.5 An instance of the random forest algorithm.mp4play5.6 Comprehensive case study - body posture prediction.mp4play