Analysis for factors affecting sold car prices, and predict the price by machine learning algorithms
After some investigation of the categorical features we found out that 2015 and 2016 are the years that most of the car versions belong Petrol manual cars are the dominant cars in this dataset followed by diesel and CNG and automatic cars Dealer selling type more than indvidual selling type in the dataset present and selling price are having a positive strong relationship After combibibg features togethet we found out that automatic diesel cars are more expensive than manual petrol or CNG cars. The lower the kilometers driven by the car the higher selling price range. Fortuner and Innova cars are the highest price exist in the dataset.