Machine Learning π About Machine Learning 1 The Machine Learning Landscape Classification Support Vector Machines Decision Trees Ensemble Learning and Random Forests Dimensionality Reduction Clustering π About Machine Learning 2 Introduction Concept Learning and the General to Specific Ordering Decision Tree Learning Artificial Neural Networks Bayesian Learning Instance-Based Learning Genetic Algorithms Learning Sets of Rules Analytical Learning Reinforcement Learning π About Machine Learning 3 Introduction Data Pre-processing Performance measurement of models Supervised Learning Decision Tree Learning Unsupervised Learning Ensemble Models π Machine Learning MCQs π Machine Learning Programs