Name: Supervised Learning - Ensemble methods
Uploaded: 2022-09-23T00:00:00Z
Description: In the second chapter of this course, you'll practice different several aspects of supervised machine learning techniques, such as selecting the optimal feature subset, regularization to avoid model overfitting, feature engineering, and ensemble models to address the so-called bias-variance trade-off.