Comprehensive guide for Principal Component Analysis
The theoretical and practical part of Principal Component Analysis with python implementation
Published in
8 min readSep 2, 2021
Table of Contents
1. Introduction
2. Principal Component Analysis (PCA)
3. Theory
3.1. Calculating PCA
3.1.1. Rescaling (Standardization)
3.1.2. Covariance Matrix
3.1.3. Eigenvalues and Eigenvectors
3.1.4. Sorting in Descent Order
3.2. Is PCA one of the feature extraction&feature selection methods?
4. Implementation
4.1. Traditional Machine Learning Approaches
4.2. Deep Learning…
