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Hyperparameter Optimization for Machine Learning
Learn grid and random search, Bayesian optimization, multi-fidelity models, Optuna, Hyperopt, Scikit-Optimize & more.
- Course
- By Soledad Galli
Machine Learning with Imbalanced Data
Learn to over-sample and under-sample your data, apply SMOTE, ensemble methods, and cost-sensitive learning.
- Course
- By Soledad Galli