kevin-kip / py-linear-regression

A basic implementation of linear regression in python 3.6

Linear Regression (in Python)

This is a basic implementation of Linear Regression.

The basic formula is y = mx + b, where:

1. y is the output,
2. m is the slope of the line,
3. x is the input and
4. b is the y-intercept.

Easy, Right?

Yes, Linear Regression is the most basic of all.

Solving mysteries

Since x is what the user inputs, and y is what the algorithm spits out, "what is m and b" you may ask?

Well: m = sum of (eachX - meanOfX)*(eachY - sumOfY) / sum of(square of (eachX - meanOfX)) b = meanOfY - (m * meanOfX)

You wanna try code?

1. CLone download the repo
2. navigate to the root directory
3. run in terminal python main.py

You will be prompted to input a number and you will receive a prediction(float).