Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Encoding Categorical Data - Mult

The video tutorial explains how to handle categorical data in a dataset by converting it into numerical values using the sklearn library. It introduces the column transformer and one hot encoder, detailing their usage and parameters. The tutorial provides a step-by-step guide on encoding a specific column in the dataset, transforming it into numerical data. The process involves fitting and transforming the dataset, resulting in a fully numerical dataset ready for further analysis.

How does the remainder parameter affect the transformation of other columns in the dataset?

Describe the process of fitting and transforming a dataset using a column transformer.