7.7: Training and Testing
A final step in the supervised learning process is to evaluate a trained model using data not contained within the training set. Use this video to practice programming examples involving training and testing.
Use this video to practice the concepts presented in this unit. This material is crucial as it combines all the steps outlined in the supervised learning section so that they can be implemented using scikit-learn. We will cover implementing linear regression in an upcoming unit. For now, use these examples to learn how to implement and evaluate the different machine learning approaches covered in this unit.