This is a simple implementation of Linear Regression using the method of Least Squares
Project description
Simple Regression
This is a super simple implementation of Regression (Linear and Quadratic), built from scratch using numpy.
Usage
Run:
pip install simple-regression-grqphical
Quickstart:
from simple_regression import SimpleRegression, RegressionType
data = [(0,0), (1, 3), (2, 5), (-3, 7)]
lr = SimpleRegression(data, regression_type=RegressionType.Linear)
y = lr.predict(7)
License
This project is licensed under the MIT License
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