car-price-prediction-using-regression-models

Building a Machine Learning Model to Predict the Price of the Car By Comparing Performance of Different Regression Techniques (Simple Linear Regression, Multiple Linear Regression, Polynomial Regression)
Comparing these three models, we conclude that the Multiple Linear Regression model is the best model to be able to predict price from our dataset. This result makes sense, since we have 27 variables in total, and we know that more than one of those variables are potential predictors of the final car price.