Description:

Let’s dive into this short session to understand and review techniques which help in optimizing machine learning model performances.

Course Code/Duration:

BDT183 / 90 minutes.

Learning Objectives:

• Learn what hyperparameters are and how to tune them to improve model performance.
• Discuss Hyperparameters for various machine learning algorithm
• Learning how to evaluate model performance:
• Discuss k-fold cross-validation for measuring model performance.
• Discuss grid search to find the hyperparameters that optimize model performance.