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100 Days Challenge Day 5 - Principal Component Analysis (PCA)

December 07, 2019 Linear Regression, Logistic Regression, Optimization, Supervised Learning, Unsupervised Learning

100 Days Challenge - Day 5.

Principal Component Analysis (PCA)

Revised Dimensionality Reduction and Principal Component Analysis from Andrew Ng's Machine Learning course on Coursera which I had already completed a few months ago.

Topics covered include:

Principal Component Analysis

PCA Algorithm (Using SVD)
Reconstruction from compressed form
Choosing number of principal components
Practical Usage Tips

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