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Congratulations

1. Congratulations

Well done on completing the course, I predicted that you would!

2. What you've covered

To recap, you have learned the fundamentals of using supervised learning techniques to build predictive models for both regression and classification problems. You have learned the concepts of underfitting and overfitting, how to split data, and perform cross-validation.

3. What you've covered

You also learned about data preprocessing techniques, selected which model to build, performed hyperparameter tuning, assessed model performance, and used pipelines!

4. Where to go from here?

We covered several models, but there are plenty of others, so to learn more we recommend checking out some of our courses. We also have courses that dive deeper into topics we introduced, such as preprocessing, or model validation. There are other courses on topics we did not cover, such as feature engineering, and unsupervised learning. Additionally, we have many machine learning projects where you can apply the skills you've learned here!

5. Thank you!

Congratulations again, and thank you for taking the course! I hope you enjoy using scikit-learn for your supervised learning problems from now on!

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