Month 3: Supervised Learning Techniques

Week 1: Regression Analysis

• Introduction to Regression Analysis
• Linear Regression
• Polynomial Regression
• Ridge Regression
• Lasso Regression

Week 2: Decision Trees

• Introduction to Decision Trees
• Building Decision Trees
• Tree Pruning
• Ensemble Methods (Random Forests)

Week 3: Support Vector Machines (SVMs)

• Introduction to SVMs
• Linear SVMs
• Non-linear SVMs
• SVM Kernels
• Applications of SVMs

Week 4: Gradient Boosting

• Introduction to Gradient Boosting
• Boosting vs. Bagging
• Gradient Boosting for Regression
• Gradient Boosting for Classification
• XGBoost and LightGBM