Internship Assignment

Automobile Price Prediction Using Machine Learning

Problem Statement

        Automobile sales are on a global increase, so there is a need for car price prediction system to effectively determine the worthiness of the car using a variety of features.

Objective

        To predict the retail price of a car by training different machine learning regression models on the given dataset and evaluate the performance of individual models to select the one with high accuracy to maximize the efficiency of price prediction system.

Result Ananlysis

Algorithm used	R2 Score
Random Forest Regressor	0.9217
Gradient Boosting Regressor	0.9053
Decision Tree Regressor	0.9049
Extra Tree Regressor	0.9000
Linear Regression	0.8993

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