Principle Component Analysis(PCA) | Part 3 | Code Example and Visualization
Channel: CampusX
Date: 2021-05-08

In this video, we provide a code example and visualization to showcase how to implement PCA in Python. Follow along and see the power of PCA in action, simplifying data and enhancing visualization for better insights.

Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day47-pca

TASK PCA:  https://colab.research.google.com/drive/19AtHlobDsFzsOSXKl8K9qlsqNu2McXza?usp=sharing

Task PCA Solution : https://colab.research.google.com/drive/1gsYahZavBH9lX6CjRJztV-lIHkwr2ajL?usp=sharing

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⌚Time Stamps⌚

00:00 - Practical Example on MNIST Dataset
01:30 - PCA Code Demo
21:50 - 2D Visualization
28:50 - Explained Variance
30:48 - Finding Optimum number of principle components required
34:34 - PCA Code Demo
39:35 - When does PCA not work?
43:00 - Outro