Univariate-Linear-Regression-

Linear Regression with NumPy and Python

This project is basically to perform linear regression without use of any special library like scikit-learn

It is very useful if you want to understand the logic behind the Linear Regression

The objective of linear regression is to minimize the cost function Compute the Cost 𝐽(𝜃)

𝐽(𝜃)=1/2𝑚∑(ℎ𝜃(𝑥'−𝑦')2

where ℎ𝜃(𝑥) is the hypothesis and given by the linear model

ℎ𝜃(𝑥)=𝜃𝑇=𝜃(0)+𝜃(1)𝑥(1)