Feature Selection Techniques

In this article, we will review feature selection techniques and answer questions on why this is important and how to achieve it in practice with python.

This article will help you to find the following interview questions:

1. What is feature selection?
2. Name some benefits of Feature Selection
3. What Feature Selection techniques do you know?
4. Differentiate between univariate, bivariate, and multivariate analysis.
5. Can we use PCA for feature selection?
6. What’s the difference between Forward Feature Selection and Backward Feature Selection?

This article is part of a series where we walk step by step through solving fintech problems with different Machine Learning techniques using the “All lending club loan” dataset. Here you can find the complete end-to-end data science project for beginners to learn data science.

Introduction to Data Science with python: A complete guide to learn data science and machine…

What is feature selection, and why is it important?

Feature selection is a process of selecting essential features that are more uniform, non-redundant, and relevant for…