Feature Extraction with R Programming | What is Feature Extraction | Intellipaat
36In this video, we will learn about Feature Extraction using R Programming. Feature Extraction is a technique used in Machine Learning to reduce the number of features in a dataset while retaining important information. We will start by understanding what features are, how they are important in Machine Learning, and why we need to extract them.
This video is ideal for beginners who are new to Machine Learning and want to learn more about Feature Extraction using R programming. By the end of this video, you will have a clear understanding of what Feature Extraction is, different techniques for extracting features, and how to implement them in R programming. So, sit back, relax, and let's dive into the world of Feature Extraction using R Programming!
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🔵 Following Topics are covered in this session:
0:00 - Introduction
1:34 - What is Feature Extraction
6:35 - Factor Analysis Methodology
14:44 - Factor Analysis Hands-on Demo
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