Instructions to use sidSircar2103/air_quality_svc_with_poly_kernel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use sidSircar2103/air_quality_svc_with_poly_kernel with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("sidSircar2103/air_quality_svc_with_poly_kernel", "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
File size: 133 Bytes
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datasets:
- sidSircar2103/kaggle_air_quality_dataset
language:
- en
metrics:
- accuracy
library_name: sklearn
tags:
- climate
--- |