Shypd.aiThe largest open index of AI toolsimbalanced-learn is a Python package that provides re-sampling techniques to tackle imbalanced datasets in machine learning. It is compatible with scikit-learn and helps improve model performance on skewed data.
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imbalanced-learn is an open-source Python package designed to address the common challenge of imbalanced datasets in machine learning. It offers a variety of re-sampling techniques to balance the class distribution, which is crucial for optimizing the performance of most classification algorithms. The package is fully compatible with scikit-learn, making it a seamless addition to existing machine learning workflows. It supports essential dependencies like NumPy, SciPy, and scikit-learn, with optional support for Pandas, TensorFlow, and Keras for broader data handling and model integration. The tool is part of the scikit-learn-contrib projects and provides comprehensive documentation, installation guides, and examples to help users effectively implement its functionalities.
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