Price Prediction of Used Cars using Linear Regression
Keywords:Price prediction; Kaggle; machine learning; train test split; linear regression
Nowadays due to covid19 pandemic everyone wishes to have their own vehicle. So that we can avoid traveling in public vehicles and can distance ourselves socially from others. But getting a new car is not an easy task any more due to its high price and its depreciation and many other government taxes, then after that its additional cost on maintaining and repairing that car. So, the only choice we have left with is buying a car that is previously used. But sometimes the owner of car lists improbable price according to their demand. So, this research paper focuses on predicting the price of used cars. For predicting the price, the dataset which was used was downloaded from Kaggle. The dataset included some factors like name of car, company, year, kilometers driven, fuel type that are independent variables and price which is a dependent variable with the help of that we are going to apply supervised machine learning method called linear regression to it and with the help of the preprocessed dataset and linear regression algorithm it will help us in the finding the accurate price of used cars.