original

1920

Before any machine learning model can perform well, your data must be clean, consistent, and well-represented.

In this course, you’ll learn how to explore, clean, transform, and engineer features to make your data 

We’ll go step-by-step from raw data to a complete preprocessing pipeline you can reuse in real projects.

By the end of this course, learners will be able to:

From raw data to a complete preprocessing pipeline

Before taking this course, learners should have: