AI 305 - Applied Machine Learning & Model Validation

Hands-on course exploring key machine learning techniques, including feature engineering, hyperparameter tuning, and model validation. Students will gain experience in building, optimizing, and validating machine learning models in Python, applying industry-standard practices for testing and evaluating model performance. Emphasis is placed on developing robust models through real-world problem-solving and rigorous validation methods.

Credits: 3

Class Level Junior Undergraduate
Program Undergraduate