nbtin/regression-implementation

Linear & Logistic Regression Implementation from Scratch using Numpy

Linear Regression & Logistic Regression Implementation

This repository contains Python implementations (with Numpy) of Linear Regression and Logistic Regression for two common machine learning tasks:

• predicting house prices using Linear Regression.

  

• classifying data using Logistic Regression.

  

Dependencies

• Python >= 3.8
• numpy >= 1.19.2
• pandas >= 1.1.3
• matplotlib >= 3.3.2
• seaborn >= 0.11.0

Or you can install all dependencies using the following command:

pip install -r requirements.txt

Final Note

If you are HCMUS student and you are taking the course CSC15004 - Statistics Learning, feel free to use this repository as a reference and cite it properly. Thanks!