Data Preprocessing with Scikit-Learn, Week 10, Session 19

We looked at how we can preprocess our data before traninig in sklearn. Several data preprocessing techniques were introduced and we demonstrated how to use them to preprocess and transform our dataset into a suitable format for training.

By the end of the video, students should know:
- What data preprocessing is and how it differs from data cleaning.
- Know how to use SimpleImputer to deal with missing values.
- Know how to use the different encoding techniques on categorical data
- Know how to use the two scaling techniques on numerical variables.