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 stars88.46%
- 4 stars10.43%
- 3 stars0.54%
- 1 star0.54%
TOP REVIEWS FROM SUPERVISED MACHINE LEARNING: CLASSIFICATION
this course taught me a lot even after being a practioner for 10+ years!
Great! Helps me build my career path in Data Science
Superb ,detailed, well explained, lots of hands on training through labs and most of the major alogrithms are covered!
Keep up the good work. You guys are helping the community a lot :D
Fantastic presentations and detailed course material make this course really worth it!
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