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House Price Predictor Leaderboard

This is a Streamlit application designed to host a competition for predicting house prices. Participants upload their predictions, and the leaderboard shows their accuracy and ranking.

Getting Started

These instructions will help you set up the application on your local machine for development and testing purposes.

Deployment on Streamlit

To deploy the application on Streamlit, you will need to create a new app on the Streamlit sharing platform. You can do this by following the instructions here.

Look at the Notion page for more details.

Acknowledgements

House price data and inspiration for this project are based on the Kaggle House Prices: Advanced Regression Techniques competition.

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