This project forked from aditya-171/car-price-prediction
Demo link-Click here
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This application predicts the price of a car based on few inputs. For eg: Transmission type,Present price,No of owners,Fuel type etc.
Dataset used consists of 301 records with 8 independent features.
Algorithms and Technologies used: Random Forest ,Python ,Jupyter Notebook ,Flask.
Completed End-to-End implementation by creating a Web App using Flask
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