essanhaji / pca_cars

Introduction to Principal Component Analysis with scikit-learn

Principle Component Ananlysis Using Cars Dataset

Definition

Principal component analysis is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.

Requirements

• Python 3.7 64bit

Installation

• Get the package from PyPi :
• All requirement that you will need its exist in requirements.txt so you just need to run this command :

!pip install -r requirements.txt

• DataSet data.xlsx it's but it's enough for testing this amazing tools

Test

Congratulation.

• Open the notebook main.ipynb and edit it as you want.
  

• main.ipynb

Authors

• El Houcine ES SANHAJI - Initial work - essanhaji

Thank you.