From the "649: Introduction to Machine Learning" in which SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves join @JonKrohnLearns to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1.
Watch, listen to, or read the full episode at [ Ссылка ]
Feature scaling
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SuperDataSciencePodcastSuper Data Science PodcastData ScienceJon Krohnmachine learning in python level 1 beginnermachine learning in python level 1kirill eremenkohadelin de ponteveselbow methodsupervised vs unsupervised learningfeature scaling in machine learningfalse positives and false negatives machine learninglogistic regressionintroduction to machine learningmachine learning for beginners
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