This repository contains the exercises done on the Machine Learning Class
- E1 - Data Science Overview
- E2 - Python Text Analysis
- E3 - Supervised vs Unsupervised Overview
- E4 - Linear Models
- E5 - Decision Trees Overview
- E6 - SVM - Regularization
- E7 - Decision Trees
- P1 - Survival Prediction API
- E8 - Best Ensemble Overview
- E9 - Bagging
- E10 - Random Forest Performance Review
- E11 - Random Forest
- E12 - Gradient Boosting Review
- E13 - Categorical Encoding
- E14 - Unbalanced Learning Overview
- E15 - Fraud Detection 2- E16 - NLP Review
- P2 - NLP Movies Analysis API