PCA From Scratch in Python | Step-by-Step Implementation
In this video, we implement Principal Component Analysis (PCA) completely from scratch using Python and NumPy — without using Scikit-Learn’s built-in PCA function.
We go step by step through the complete PCA pipeline, including:
• Standardizing the dataset
• Computing the covariance matrix
• Finding eigenvalues and eigenvectors
• Sorting principal components
• Selecting the most important components
• Transforming the data into a lower-dimensional space
#PCA #MachineLearning #Python #NumPy #DataScience #DimensionalityReduction #LinearAlgebra #AI #datavisualization
Code:
https://github.com/Mahn00rMalik/Brain...
PCA Image Reference: https://docs.opencv.org/3.4/d1/dee/tu...