Exploration challenge with PCA and how we can get smaller data sets through it, using the FIFA 2019 dataset which originally contains 89 variables with different attributes of more than 18 thousand FIFA 2019 game players.
Prerequisites | Getting started | How to contribute | License
- Clone this repo
- Enter the folder
dimensionality-reduction
- Run
pip install -r requirements.txt
to install the dependencies - Run
jupyter notebook
to start the local jupyter environment - Access
http://localhost:8888/
- Make a fork;
- Create a branck with your feature:
git checkout -b my-feature
; - Commit changes:
git commit -m 'feat: My new feature'
; - Make a push to your branch:
git push origin my-feature
.
After merging your receipt request to done, you can delete a branch from yours.
This project is under the MIT license. See the LICENSE for more information.
Made with by Roberto Sousa 👋 Get in touch!