{"id":2289,"date":"2026-08-10T08:55:25","date_gmt":"2026-08-10T08:55:25","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/pluralsight-building-machine-learning-solutions-with-scikit-learn-2022-5\/"},"modified":"2026-08-10T08:55:25","modified_gmt":"2026-08-10T08:55:25","slug":"pluralsight-building-machine-learning-solutions-with-scikit-learn-2022-5","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/pluralsight-building-machine-learning-solutions-with-scikit-learn-2022-5\/","title":{"rendered":"Pluralsight \u2013 Building Machine Learning Solutions with scikit-learn 2022-5"},"content":{"rendered":"
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Descriptions<\/h2>\n

Building Machine Learning Solutions with scikit-learnThis skill teaches learners how to build machine learning solutions using Python and the pervasive scikit-learn package, including application of classifcation, regression, and clustering. This<\/span> skill teaches learners how to build machine learning solutions using Python and the pervasive scikit-learn package, including application of classifcation, regression, and clustering. Experience<\/span> the machine learning workflow as implemented in scikit-learn, and use that workflow to build simple classification, regression, and clustering models. Build<\/span> sophisticated neural network models, apply dimension reduction techniques, and combine model approaches. Select<\/span> the appropriate model for your business problem and data, and evaluate the effectiveness of that model.<\/p>\n

What you\u2019ll learn<\/h3>\n