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.
About this Course
Skills you will gain
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- 5 stars88.43%
- 4 stars10.40%
- 3 stars0.57%
- 1 star0.57%
TOP REVIEWS FROM SUPERVISED MACHINE LEARNING: CLASSIFICATION
I recommend this course to everyone who wants to excel in Machine Learning. This is a Great Course!
Great! Helps me build my career path in Data Science
Thank you Coursera.
Thank you IBM
Thank you to all instructors.
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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