Feature Engineering for Machine Learning

Description

In this course, you will learn :

• Techniques for creating new features from existing ones.
• You'll begin by learning about label encoding, which is essential for converting categorical features to numerical values.
• About other types of encoding, such as one-hot, count, and mean, which are all useful for feature engineering.

Syllabus :

• Label Encoding
• One-hot Encoding
• Count Encoding
• Mean Encoding
• Weight of Evidence Encoding
• Feature Interaction
• Datetime Features