Implementation of Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbour Embedding (t-SNE) as Dimensionality Reduction techniques using the MNIST Handwritten Digits Dataset.
- PCA - Implementation from scratch and using Scikit-Learn PCA object.
- t-SNE - Implementation using Scikit-Learn t-SNE Object for visualization of high-dimensional data on 2D.