Simple jupyter notebook which performs NN and PCA algorithms on sklearn datasets
It can work on any sklearn dataset or you can initialize the Samples class on your own and everything should be fine.
Github link: https://github.com/kamilgregorczyk/AI-NN-PCA
- Python > 3.5
- Dependencies from requirements.txt file
- Optional: Virtualenv and Virtualenvwrapper
-
Install in virtual env.
- Create virtual env.
mkvirtualenv -p python3 notebook
- Activate it
workon notebook
- Install deps.
pip install -r requirements.txt
- Create virtual env.
-
Or install globally
- Install deps.
sudo pip install -r requirements.txt
- Install deps.
-
Run notebook
jupyter notebook