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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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Intermediate Level
Approx. 24 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Decision Tree
- Ensemble Learning
- Classification Algorithms
- Supervised Learning
- Machine Learning (ML) Algorithms
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Intermediate Level
Approx. 24 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
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Reviews
- 5 stars89.14%
- 4 stars9.04%
- 3 stars0.90%
- 1 star0.90%
TOP REVIEWS FROM SUPERVISED MACHINE LEARNING: CLASSIFICATION
by JKSep 14, 2022
The course is well designed and easy to follow. (communication and feedback mechanism with Coursera could be improved).
by ADFeb 5, 2023
Well-structured learning path. If you dont have previous python experience you can catch up after a couple of weeks as the workflow is similar regardless of the algorithmn you are using
by KPMar 20, 2022
this course taught me a lot even after being a practioner for 10+ years!
by YSJun 30, 2022
Great! Helps me build my career path in Data Science
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