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This project was done in the 4th semester of Btech data science. Took an online dataset about cars. Understood, cleaned, visualized and prepared our data for building a regression model. Using Recursive feature elimination and Backward selection as a method of feature selection we built a final model. Then tested the assumptions that we made about the data before we started building the model. Lastly predicted the car prices and evaluated our model based on its performance in both in and out sample testing. This was done using Python.