3 Key Encoding Techniques for Machine Learning: A Beginner-Friendly Guide

3 Key Encoding Techniques for Machine Learning: A Beginner-Friendly Guide with Pros, Cons, and Python Code Examples

How should we choose between label, one-hot, and target encoding?

Why Do We Need Encoding?
In the realm of machine learning, most algorithms demand inputs in numeric form, especially in many popular Python frameworks. For instance, in scikit-learn, linear regression, and neural networks require numerical variables. This means we need to transform categorical variables into numeric ones for these models to understand them. …

encoding hands-on-tutorials machine learning python scikit-learn