Additional resources

Instruction and application

In Progress

Dive deeper: additional learning materials

If you're interested, use the following resources to continue exploring topics related to this unit.

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Data prep masterclass:

A hands-on guide to cleaning, imputing, and encoding tabular data by Kaggle Learn]

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Ensemble & tuning deep dive:

In-depth tutorial on Random Forest, Gradient Boosting, XGBoost, and hyperparameter search (GridSearchCV, RandomizedSearchCV) by Scikit-Learn.

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Metrics & model diagnostics:

Practical walkthrough of confusion matrices, precision, recall, and other evaluation techniques also by Scikit-Learn.

In progress