Lectures related to Discrete choice and machine learning: two methodologies

Related lectures (32)

Applied Machine Learning: Features and Models

Explores data collection, feature selection, model building, and performance evaluation in machine learning, emphasizing feature engineering and model selection.

Machine Learning Basics

Introduces machine learning basics, including data collection, model evaluation, and feature normalization.