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  1. Granite models - IBM Developer

    empowers developers to unleash the full potential of LLMs, offering...
    developer.ibm.com/components/granite-models
    Wed Nov 26 06:39:38 GMT 2025
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  2. Probability calibration of classifiers — ...

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    scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html
    Wed Nov 26 04:38:21 GMT 2025
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  3. Sparse coding with a precomputed dictionary &#8...

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    scikit-learn.org/stable/auto_examples/decomposition/plot_sparse_coding.html
    Wed Nov 26 04:38:19 GMT 2025
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  4. Image denoising using kernel PCA — scikit...

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    scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html
    Wed Nov 26 04:38:21 GMT 2025
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  5. Lasso model selection via information criteria ...

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    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars_ic.html
    Wed Nov 26 04:38:21 GMT 2025
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  6. Swiss Roll And Swiss-Hole Reduction — sci...

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    scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html
    Wed Nov 26 04:38:21 GMT 2025
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  7. Multilabel classification — scikit-learn ...

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    scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html
    Wed Nov 26 04:38:21 GMT 2025
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  8. Varying regularization in Multi-layer Perceptro...

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    scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html
    Wed Nov 26 04:38:21 GMT 2025
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  9. Novelty detection with Local Outlier Factor (LO...

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    scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html
    Wed Nov 26 04:38:21 GMT 2025
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  10. Map data to a normal distribution — sciki...

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    scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html
    Wed Nov 26 04:38:21 GMT 2025
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