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updated section header - Compatibility with other machine learning libraries
Browse files- polars/01_why_polars.py +1 -1
polars/01_why_polars.py
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def _(mo):
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mo.md(
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Polars integrates seamlessly with popular machine learning libraries like Scikit-learn, PyTorch, and TensorFlow. Its ability to handle large datasets efficiently makes it an excellent choice for preprocessing data before feeding it into ML models.
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def _(mo):
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mo.md(
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"""
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### Compatibility with other machine learning libraries 🤝
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Polars integrates seamlessly with popular machine learning libraries like Scikit-learn, PyTorch, and TensorFlow. Its ability to handle large datasets efficiently makes it an excellent choice for preprocessing data before feeding it into ML models.
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