Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.gitattributes		.gitattributes
README.md		README.md
cover.png		cover.png
cylinder.gif		cylinder.gif
methods.py		methods.py
ml-dr.ipynb		ml-dr.ipynb
torus.gif		torus.gif
utils.py		utils.py

Repository files navigation

Dimensionality Reduction Methods

PCA, t-SNE and Manifold Learning

Requirements

Python 3
Numpy
scikit-learn (needed only for sample data generation)

Running The Notebook

Open the Notebook in Google Colab or local jupyter server
Install the requirements
Restart the kernel if necessary

More Details in the Book Chapter 📃

About

Demo of various dimensionality reduction methods

www.azaditech.com

python data-science machine-learning book-chapter

Report repository

Releases

No releases published

Packages

No packages published

Languages

Python 100.0%