##Overview
This is the code for this video on Youtube. We're going to use dimnensionality reduction to visualize our data. Specificially we'll build Principal Component Analysis from scratch. Then, we'll compare it to 2 other techniqus (T-SNE, and LDA). Together, these are the 3 most popular DR techniques in machine learning right now.
##Dependencies
- numpy
- matplotlib
Install jupyter notebook to run this and pip for missing dependencies.
##Usage
In the main directory just typ jupyter notebook and this will run.
##Credits
Credits for this code go to gbohner. I've merely created a wrapper to get people started.