Tabular Regression
Scikit-learn
English
solar-energy
time-series
regression
random-forest
energy-forecasting
photovoltaic
Instructions to use nakedved/genai-capstone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use nakedved/genai-capstone with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("nakedved/genai-capstone", "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 model card
Browse files
README.md
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## Related
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- **Deployed app**: https://
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- **GitHub**: https://github.com/
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## Related
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- **Deployed app**: https://solar-power-prediction-81xp.onrender.com
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- **GitHub**: https://github.com/vedpawar2254/Solar-power-prediction
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