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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Habilidades que obtendrás
- 5 stars89,35 %
- 4 stars8,79 %
- 3 stars0,92 %
- 1 star0,92 %
Principales reseñas sobre SUPERVISED MACHINE LEARNING: CLASSIFICATION
Great! Helps me build my career path in Data Science
It's a greate course. I learned a lot, from deeper understanding basic algorithms to more advanced technique such as bagging and model explanability.
I recommend this course to everyone who wants to excel in Machine Learning. This is a Great Course!
this course taught me a lot even after being a practioner for 10+ years!
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