Automobile Price Prediction IT17053556 [Predictive Exp.]

Data Preparation - The data is cleaned by removing the normalized losses column since it has a large number of missing values Defined Attributes required - make, body-style, wheel-base, engine-size, horsepower, peak-rpm, highway-mpg, price Choose Algorithm - Split data(75% for training the model and 25% for testing) - The Linear Regression was used. Predicted the prices - use visualize option to see the prediction