This end-to-end project is about predicting prices for the second hand cars.
If you would like to give this project a try then you can follow these steps:
- Open 'Check_secondhand_car_prices_India.ipynb' notebook where you can see the main dataset being splitted into several other datasets.
- Each splitted dataset belongs to a specific company.
- There are multiple Notebooks that are dedicated to single companies.
- Note: There are many companies in this dataset as there wasn't enough data for that specific company I really had to drop them but you can add them as well.
- Then get into other notebooks step by step and then created models and also EDA if you would really like to do as I have already done alot of EDA in other notebooks.
- Then create pickle files for each and every model that you have created.
- Use Flask to create a Web app.
- Finally deploy it using Heroku.