- Exploratory Data Analysis(EDA)
- Assumptions of Linear Regression
- Handling Categorical Variables
- Multicolinearity
- Interaction Term
- Classification with Trees
- Bagging based tree algorithm (Random Forest)
- Boosting based tree algorithm (GradientBoosting)
- Classification with Logistic Regression
- Hyper Parameters Tuning
- Regression with Trees