Linear-Regression-from-scratch
In this repository you can find linear regression written in numpy from scratch, with some theory explanation and methamatical background connected to this subject and some intuitions related to it. It's one of the most basic problems in machine learning. According to some data and target points, we are creating a line with which we are going to predict new values.
Getting Started
To run it You need jupyter notebook installed or You can run it using google colab The main file is The main file is LinearRegression.ipynb
Prerequisites
-numpy
-matplotlib
Authors
License
This project is licensed under the MIT License - see the LICENSE file for details