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.
- 5 stars89.34%
- 4 stars9.64%
- 3 stars0.50%
- 1 star0.50%
來自 SUPERVISED MACHINE LEARNING: CLASSIFICATION的熱門評論
The course is well designed and easy to follow. (communication and feedback mechanism with Coursera could be improved).
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
This course is has a detailed explanation on each and every aspect of classification.