Simple Linear Regression implementation in Python

This repository contains the python implementation for Simple Linear Regression in two different ways:

1. From scratch using NumPy
2. Using Scikit-learn library

Data

I have used employees salary data. This data have one feature named 'YearsExperience' and the output variable named as 'Salary'.

• We have to predict the salary of an employee based on the years of experience.

Notebooks

There are two notebooks with step-by-step implementation:

• Simple_Linear_Regression_Using_Numpy.ipynb : Simple linear regression implemented with Numpy
• Simple_Linear_Regression_Using_Scikit-Learn.ipynb : Simple linear regression implemented with Scikit-learn

Additional .py files

• model/Simple_LR_NumPy.py : Simple LR code implemented in Numpy
• utils/metrices.py : Python implementation for mean absolute error (MAE), mean squared error (MSE), and R-squared
• utils/utils.py : Functions to save and load the model