Skip to content

Latest commit

 

History

History
4 lines (4 loc) · 367 Bytes

README.md

File metadata and controls

4 lines (4 loc) · 367 Bytes

Polynomial_Regression

This model predicts the house value afforded by a family in California based on their income. This model is trained using Linear Regression, Polynomial (Cubic) Regression and compares the error among the predicted values obtained through Linear and Polynomial regression. The datasets used is California Housing Data sets from Kaggle website.