Measure model performance using various metrics. Use sampling and hyperparameter tuning to improve models, and calculate feature importance for model evaluation. This course is part of the Supervised Learning path – complete this path to learn how to use and evaluate a range of supervised learning algorithms.
Previous experience of using Python is required. Prior knowledge of machine learning is not necessary.