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Congratulations!

1. Congratulations!

Congratulations on completing the course! You have truly accomplished a lot and are well on your way to mastering machine learning with tidymodels!

2. The tidymodels ecosystem

In chapter 1, you learned about the various roles that each tidymodels package plays within in the machine learning process.

3. Regression modeling

You also learned how to specify models with the parsnip package and train and evaluate linear regression models.

4. Classification modeling

In chapter 2, you trained logistic regression models and learned how to evaluate their performance with sensitivity, specificity, and ROC curves.

5. Feature engineering

In chapter 3, you built feature engineering pipelines to prepare datasets for modeling.

6. Fine tuning models with cross validation

And finally, in chapter 4, you learned how to improve prediction accuracy with cross validation and hyperparameter tuning.

7. Thank you!

Thanks again for taking the course and I hope you bring tidymodels into your daily data science work!

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