“From Choices to Insights: Unleash the Power of Encoding”

“Transforming Categorical Features for Enhanced Machine Learning Performance by turning Your ‘Red, Green, and Blue’ into Powerful Predictions ”

Introduction:-

Almost all real-world datasets come with multiple types of features.

These primarily include:

• Categorical
• Numerical

The first thing you do when you’re making any kind of machine learning program is usually pre-processing or Data massaging.

While numerical features can be directly used in most ML models without any additional preprocessing, categorical features require encoding to be represented as numerical values.

By that, I mean preparing data to be analyzed by your program. After all, you can’t just throw a spreadsheet or some pictures into your program and expect it to know what to do.

A big part of the preprocessing is something encoding. This means representing each piece of data in a way that the computer can…