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This repository contains all the resources made and used in the session for Feature Engineering
feature_engineering-and-selection's Introduction
Feature Engineering Session (DAY-3)
- Importance of Feature Engineering
- Why is data cleaning required? And what is data munging?
- Types of Variables : Numerical and Categorical
- What is Feature Engineering?
- Feature Engineering: Proper Questions to Ask
- Various Techniques to carry-out Feature Engineering
- Hands-On Session
1 . Handling Outliers
2 . Handling Missing Values
3 . One-Hot and Label Encoding
- What is Feature Selection? What are its benefits?
- Hands-On Session for few techniques of Feature Selection