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Machine Learning
Table of Contents: 1 Introduction to Machine Learning 2 Preparing to Model 3 Modelling and Evaluation 4 Basics of Feature Engineering 5 Brief Overview of Probability 6 B ayesian Concept Learning 7 Super vised Learning: Classification 8 Super vised Learning: Regression 9 Unsupervised Learning 10 Basics of Neural Network 11 Other Types of Learning