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 stars89.39%
- 4 stars9.59%
- 3 stars0.50%
- 1 star0.50%
來自 SUPERVISED MACHINE LEARNING: CLASSIFICATION的熱門評論
this course taught me a lot even after being a practioner for 10+ years!
I recommend this course to everyone who wants to excel in Machine Learning. This is a Great Course!
The course is well designed and easy to follow. (communication and feedback mechanism with Coursera could be improved).
The course is very well structured, and the explanations very clear. I would only suggest enhancing the peer-review community since it takes a long time to get a review sometimes.