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title: NBA Fantasy Game | |
emoji: π | |
colorFrom: indigo | |
colorTo: yellow | |
sdk: streamlit | |
sdk_version: 1.34.0 | |
app_file: app.py | |
pinned: false | |
# DeployedLibraries: | |
- streamlit | |
- pandas | |
- numpy | |
- tensorflow | |
- keras | |
# Datasets: | |
- id: Hatman/NBA-Player-Career-Stats | |
description: Historical NBA player stats from Snowflake database | |
cardDescription: This dataset contains season averages for NBA players from past seasons, used to create fantasy teams and simulate games. | |
- id: Hatman/NBA-Players-Results-2018 | |
description: NBA player stats and results from the 2018 Season | |
cardDescription: This dataset contains season averages and results for NBA players and their teams from the 2018 seasons. | |
# Models: | |
- id: NBA-Game-2018 | |
description: Keras model to predict NBA game winners | |
cardDescription: A functional Keras model trained on 2018 season data to predict game winners based on starting player stats. | |
huggingFaceId: Hatman/NBA-Fantasy-Game | |
### ContainerInfo: | |
image: Hatman/NBA-Fantasy-Game | |
imageUrl: https://huggingface.co/Hatman/NBA-Fantasy-Game | |
### ModelFileInfo: | |
filePath: ./winner.keras | |
repoUrl: https://huggingface.co/Hatman/NBA-Game-2018 | |
branchName: main | |
### TrainingMetrics: | |
- metric: Accuracy | |
value: 0.57 | |
- metric: Loss | |
value: 1.38 | |