At last, it’s time to build our models!
It might seem like it took us a while to get here, but professional data scientists actually spend the bulk of their time on the steps leading up to this one:
- Exploring the data.
- Cleaning the data.
- Engineering new features.
Again, that’s because better data beats fancier algorithms.
In this lesson, you'll learn how to set up the entire modeling process to maximize performance while safeguarding against overfitting. We will swap algorithms in and out and automatically find the best parameters for each one.