This course provides an in-depth understanding of evaluation metrics for both regression and classification models. By the end of this course, you will be able to evaluate the performance of your machine learning models properly in different scenarios.
Overview
Syllabus
- Lesson 1: Understanding MSE, MAE, RMSE and Their Differences
- Lesson 2: R-squared Metric
- Lesson 3: Classification Metrics
- Lesson 4: Building and Understanding AUC-ROC
