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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- 5 stars88.43%
- 4 stars10.40%
- 3 stars0.57%
- 1 star0.57%
来自 SUPERVISED MACHINE LEARNING: CLASSIFICATION的热门评论
Thank you Coursera.
Thank you IBM
Thank you to all instructors.
The course is very well structured, and the explanations very clear. I would only suggest enhancing the peer-review community since it takes a long time to get a review sometimes.
Great! Helps me build my career path in Data Science
It was a perfect experience and the instructor was very good. Thanks, IMB and Coursera