Hyperparameter Optimization and Kaggle Competition
Explore various hyperparameter optimization techniques such as grid search, random search, Bayesian methods, and genetic algorithms to improve your machine learning models. Understand their application in classification using cross-validation and apply these concepts by participating in a Kaggle Titanic competition project.
Cross-validation
In the chapter on regression, we looked at cross-validation and saw the intuition behind using it and its benefits. We also examined the working of k-fold cross-validation, which divides the training dataset into sets, trains on sets, and evaluates on the ...