PREDICTING CAR PRICE USING MACHINE LEARNING - REGRESSION PROJECT
• Develop a Model to predict car prices on the basis of given data. Used Data Exploration and Data Cleaning techniques to understand the data better.
• Prepare Data for model building by using data splitting techniques. Use Feature Scaling to normalize the data.
• Use algorithms like Linear Regression, Decision trees to predict the resultant variable and achieve 88% accuracy.