• This project is about Vehicle Selling Price Prediction, In this project i will take some input from user and my machine learning model will predict selling price of vehicle.
• In this project i used cardekho.com dataset from kaggle.com, I had trained a Machine Learning model and i got 95.92% accuracy using Random Forest Regressor.
• This repository consists of files required to deploy a Machine Learning Web App created with Flask on Heroku platform.
• If you want to view the deployed model, click on the following link:
Deployed at: https://vehicle-price-jaysoftic.herokuapp.com/
• If you are searching for Code, Algorithms used and Accuracy of the model.. you can find it in vehicle selling price prediction.ipynb file
• If you like my work and it helped you in anyway then please do ⭐ the repository it will motivate me to make more amazing projects.
• A glimpse of the web app:
