1 hour 46 minutes
Course DescriptionRecognize underfitting and overfitting, implement bagging and boosting, and build a stacked ensemble model using a number of classifiers. 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.