This is a model for prediction of second hand cars prices using various parameters like year of purchase, fuel type etc. It has been developed using Python language and Spyder IDE. Linear Regression and Random Forest Regressor have been used to make predictions. Feel free to check out the source code and dataset using the following link :-
mukund-23
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Car-Price-Prediction-Model
A regression model for predicting car prices
This repository contains all the source code and dataset for a car price prediction model based on linear regression and random forest regressor. Calcualted MSE, RMSE, and R squared values for both the models to compare their performance. The code is written in Python. Libraries used include:- Pandas Seaborn Numpy Matplotlib ScikitLearn
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