Project information
Car Price Prediction
Primary Goal : To build a system that successfully predicts the price of used car by taking various input from the user.
Solution : The Car Price Prediction is a Streamlit/Flask web application which predicts used car prices based on given independent features like Selling Price, Present Price, and Fuel Type etc. The entire system is built on Python using Machine learning Algorithms, Streamlit and Flask as a web framework.
The dataset is available at Kaggle, and it's provided by cardekho.com. Multiple ML algo’s were used, Decision Tree Regressor gives us best result with an Rsquared score of 99%, 95% on Train and Test Data respectively. The web app is then deployed to AWS Cloud.