NBA-Fantasy-Game / README.md
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---
title: NBA Fantasy Game
emoji: πŸ€
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