Instructions to use odedf2001/movies_metadata.csv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use odedf2001/movies_metadata.csv with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("odedf2001/movies_metadata.csv", "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
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The strongest model in both regression and classification tasks was **Gradient Boosting**, delivering state-of-the-art performance.
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The strongest model in both regression and classification tasks was **Gradient Boosting**, delivering state-of-the-art performance.
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🎥 **Watch the full project demo here:**
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https://www.loom.com/share/303dfe317514455db992438357cf8cb4
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