This is a machine learning project built using Random Forest Regression Model.
"car Data.csv" dataset was imported from Kaggle. Used juyter notebook to clean and ready the data. The RFR model is saved to a pickle file.
- Run the requirements.txt file
- Open Command Prompt and move to the project directory
- run the code: pip install -r requirements.txt this will install all the required modules for the project
- Run main.py in command prompt
- run code: python main.py
- This will open a web page in your browser or it will show the address of the local web page. most probabily the address might be http://127.0.0.1:5000
- Enter the required data and click on the Calculate selling price button. Then the Selling price would be displayed below.
- I thank my mentor Krish for guiding me to build the project.
- I thank Kaggle for providing a free dataset from cardekho