Topics covered:
Introduction and implementation in python
Implementation in R
Introduction of Random forest
Implementation in python of Random forest
Implementation in R of Random forest
Introduction of XGBoost and implementation in python
Implementation in R of XGBoost
Time series analysis
Analytical decision making
Theory of entropy and information gain
Overfitting and underfitting
Stopping rules, cross-validation, and pruning