APX AI
Online
Learn the essential concepts of evaluating machine learning models. This course covers fundamental metrics for classification and regression tasks, explaining how to interpret results and understand model performance. Start building a solid foundation for assessing AI models.
Prerequisites Basic ML concepts
Level:
Certification Available:
Model Evaluation Purpose
Understand why evaluating machine learning models is essential for development.
Classification Metrics
Identify and calculate fundamental metrics like accuracy, precision, recall, and F1-score.
Regression Metrics
Identify and calculate fundamental metrics like MAE, MSE, RMSE, and R-squared.
Confusion Matrix
Interpret a confusion matrix to understand classification performance.
Data Splitting
Learn the importance of train/test splits for reliable model evaluation.
Basic Evaluation Workflow
Apply a simple workflow to evaluate a model using appropriate metrics.