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