The goal is to come up with a predictive model for the prices of cars based on
Question:
The goal is to come up with a predictive model for the prices of cars based on different features of cars. We want to understand the factors on which the pricing of cars depends i.e. what factors affect the pricing of cars. The dataset can be downloaded from:
https://www.kaggle.com/goyalshalini93/car-data
Data consists of both Categorical and Numerical Entries. We will only use the numerical entries for prediction for simplicity. You may (in the future) convert the categorical entries to numerical ones to improve prediction accuracy. The columns are the features of the car, including its price. You will regress the car price from the other features.
Several features of the cars are given in the attached spreadsheet. You will use the numerical features to make the prediction. The goal is to obtain good predictions using a minimum number of predictors, which will improve interpretability.
Smith and Roberson Business Law
ISBN: 978-0538473637
15th Edition
Authors: Richard A. Mann, Barry S. Roberts