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Scikit-learn is one of the most widely used machine learning libraries in Python. It is built on top of foundational scientific libraries such as NumPy, SciPy, and Matplotlib, providing a rich environment for data analysis, modeling, and visualization. Scikit-learn offers a variety of efficient tools for machine learning, statistical modeling, clustering, dimensionality reduction, and preprocessing, making it accessible for both beginners and experienced data scientists.
Scikit-learn is one of the most widely used machine learning libraries in Python. It is built on top of foundational scientific libraries such as NumPy, SciPy, and Matplotlib, providing a rich environment for data analysis, modeling, and visualization. Scikit-learn offers a variety of efficient tools for machine learning, statistical modeling, clustering, dimensionality reduction, and preprocessing, making it accessible for both beginners and experienced data scientists.