The go-to Python library for classical machine learning with a unified API for all algorithms.
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Simple and efficient tools for predictive data analysis, covering classification, regression, clustering, and more.
Seamlessly integrates with NumPy, SciPy, Pandas, and Matplotlib for end-to-end data workflows.
Built-in metrics (accuracy, F1, ROC-AUC) and cross-validation tools for robust model validation.
StandardScaler, OneHotEncoder, and Pipeline APIs for reproducible data transformations.
Well-documented with beginner-friendly APIs and extensive community tutorials.
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