In this project, we used some algorithm to predict the house price for boston housing datasets. Main goal is to compare various algorithms and evaluate models by comparing prediction accuracy. We examined different models - Linear Regression, Lasso Regression and RidgeRegression based on the accuracy (MSE) .
We have compared algorithms by MSE. We found that Lasso model gave lowest MSE.