ML Web-App using streamlit framework

Description

Three page web-app for car price prediction using real-world data.

Process to open the app locally

1. git clone the repository
2. create a virtual enviroment
3. install the requirements.txt file using pip install -r requirements.txt
4. run the 4th notebook to train and save the selected model (adjust for another model selection)
5. run streamlit run Car_Price_Prediction.py to render the app on your local browser