Prediction tests | EPFL Graph Search

Explores model assessment, hyperparameter tuning, and resampling strategies in machine learning.

Covers the fundamentals of traffic flow modeling, including model classification and testing techniques.

Covers linear regression, gradient descent, overfitting, and ridge regression among other concepts.

Delves into model evaluation, covering theory, training error, prediction error, resampling methods, and information criteria.

Covers linear and ridge regression, overfitting, hyperparameters, and test sets.