
737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux
Super Data Science: ML & AI Podcast with Jon Krohn
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Advancements in Scikit-learn and Applications in Healthcare
The chapter discusses advancements in Scikit-learn related to handling large datasets, model interpretation, and AutoML capabilities. It also explores the impact of the Scikit-learn project in data science projects, particularly in healthcare applications like diabetes progression prevention and healthcare resource allocation. The importance of optimizing healthcare resources, understanding appropriate evaluation metrics for machine learning problems, and the balance between false positives and false negatives in models are also discussed.
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