This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. The hands-on section of this course focuses on using best practices for classification, including train and test splits, and handling data sets with unbalanced classes.
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Compétences que vous acquerrez
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Meilleurs avis pour SUPERVISED MACHINE LEARNING: CLASSIFICATION
Thank you Coursera. Thank you IBM\n\nThank you to all instructors.
Fantastic presentations and detailed course material make this course really worth it!
It was a perfect experience and the instructor was very good. Thanks, IMB and Coursera
I would like to give especial thanks to the instructor (the one in the videos) for his great job. It would be nice to know who is is.
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