Additional resources
Instruction and application
In ProgressDive deeper: additional learning materials
If you're interested, use the following resources to continue exploring topics related to this unit.
- Data prep masterclass: A hands-on guide to cleaning, imputing, and encoding tabular data by Kaggle Learn]
- Ensemble & tuning deep dive: In-depth tutorial on Random Forest, Gradient Boosting, XGBoost, and hyperparameter search (GridSearchCV, RandomizedSearchCV) by Scikit-Learn.
- Metrics & model diagnostics: Practical walkthrough of confusion matrices, precision, recall, and other evaluation techniques also by Scikit-Learn.