Machine Learning Concepts
The predictive modeling pipeline
Selecting the best model
Hyperparameter tuning
Linear models
Decision tree models
Ensemble of models
Evaluating model performance
Concluding remarks
Appendix
🚧 Feature selection
🚧 Interpretation
