"# Car-Price-Predictor" The Car Price Predictor project aims to predict the price of second-hand cars using machine learning techniques. The project is designed to help both buyers and sellers of second-hand cars make informed decisions based on the predicted price of the car.

The project uses a quicker dataset of second-hand cars that includes information such as the car name, year, company, year, price, kms driven, and other relevant features that affect the price of the car. The dataset is preprocessed to remove any missing or irrelevant data and normalize the numerical values.

The machine learning model used in this project is a regression model, specifically a Linear Regression Model, which is trained on the preprocessed dataset. The model is trained to predict the price of a car based on its features.

The project also includes a web application that allows users to enter the features of a car and receive a predicted price. The web application uses the trained machine learning model to predict the price of the car and display it to the user.

Overall, the Car Price Predictor project has the potential to provide valuable insights to buyers and sellers of second-hand cars, helping them to make informed decisions based on accurate predictions of the price of the car.