Car-Price-prediction

The Car Price Prediction project utilizing linear regression is a machine learning endeavor aimed at developing a model capable of estimating the price of a car based on various features and attributes. Fundamental supervised learning algorithm, is employed to establish a relationship between the independent variables (car features) and the dependent variable (car price). This project involves the following key steps: 1.Data Collection and Preparation 2.Feature Selection 3.Data Splitting 4.Linear Regression Model Building 5.Model Evaluation Overall, this project aims to develop a predictive tool that assists potential car buyers, sellers, and enthusiasts in estimating a fair price for a given vehicle based on its specifications.