Exercise

One-hot encoding specific columns

A local used car dealership wants your help in predicting the sale price of their vehicles. If you use one-hot encoding on the entire used_cars dataset, the new dataset has over 1,200 columns. You are worried that this might lead to problems when training your machine learning models to predict price. You have decided to try a simpler approach and only use one-hot encoding on a few columns.

Instructions

100 XP

Create a new dataset, used_cars_simple, with one-hot encoding for these columns: "manufacturer_name" and "transmission" (in this order).
Set the prefix of all new columns to "dummy", so that you can easily filter to newly created columns.