Instructions to use kevinkyi/Homework2_Classical_ML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use kevinkyi/Homework2_Classical_ML with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("kevinkyi/Homework2_Classical_ML", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Add README.md
Browse files
README.md
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# Football Elite Classifier — AutoML (AutoGluon Tabular)
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**Task:** Binary classification — predict `Elite` (0/1) from tabular receiver stats.
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---
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library_name: autogluon
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pipeline_tag: tabular-classification
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license: mit
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tags:
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- automl
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- tabular
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- autogluon
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- sklearn
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model_name: Football Elite Classifier — AutoML (AutoGluon Tabular)
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language:
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- en
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---
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# Football Elite Classifier — AutoML (AutoGluon Tabular)
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**Task:** Binary classification — predict `Elite` (0/1) from tabular receiver stats.
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