Encoding Categorical Variables: One-Hot vs. Label Encoding and Beyond
All Data Augmentation Techniques
Normalization vs. Standardization in Machine Learning
What Are Outliers and How Do You Deal with Them?
What is Feature Scaling in ML
iBeta Level 3 and the New Standards
Categorical Data in Machine Learning: A Comprehensive Guide
What Is Human-in-the-Loop (HITL)?
Missing Values in Data: What It Is and How to Handle It