Car-Price-Prediction The Regression model that predicts the price of the used car depending on its specifications Potential Regressor of the dataset - Brand: A BMW is more expensive than Toyota - Mileage: The more car is driven, the cheaper the it should be - Engine Volume: Sport cars have larger engines than economy - Year: The older the car, the cheaper it is The rest of columns are catigorical variables which we will deal with on a case-by-case basis Steps for creating the Regression Model - Clean the dataset (Preprocessing) - Relax Assumptions - Log Transformation - Create a Dummies - Create a Model