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| title: Fifa19 Player Recommendationbid Prediciton | |
| emoji: 👀 | |
| colorFrom: gray | |
| colorTo: pink | |
| sdk: streamlit | |
| sdk_version: 1.43.0 | |
| app_file: app.py | |
| pinned: false | |
| short_description: ML App | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # FIFA 19 Player Recommender | |
| A Streamlit web application that recommends FIFA 19 players based on team and position preferences, and predicts their market value. | |
| ## Setup | |
| 1. Install requirements: `pip install -r requirements.txt` | |
| 2. Run the app: `streamlit run app.py` | |
| ## Data Files | |
| Make sure all required pickle files are in the `data` directory: | |
| - newdf3.pkl | |
| - predictorsscale.pkl | |
| - newpredictors.pkl | |
| - train_predictors_val.pkl | |
| - newfifa.pkl | |
| - df3scaled.pkl | |
| - finalxbrmodel.pkl | |