An example of how to create a simple self-developed Linear Regression from scratch in Python
Shows how to use LinearRegression.py
Contains the Linear Regression using gradient descent
You can pull the repository the way it is. Running Main.py calls Linear Regression with the boston dataset. If you just want to use the Linear Regression you have to call fit()
with a Numpy Array X
(m_samples, n_features) and a Numpy Array y
(m_samples).
If you have an idea how to improve this Linear Regression keeping it as simple as possible please fork it and make a PR.