Interpretable Machine Learning Applications: Part 1
By Coursera
on Coursera
· Data Science
About This Course
In this 1-hour long project-based course, you will learn how to create interpretable machine learning applications on the example of two classification regression models, decision tree and random forestc classifiers. You will also learn how to explain such prediction models by extracting the most important features and their values, which mostly impact these prediction models. In this sense, the project will boost your career as Machine Learning (ML) developer and modeler in that you will be able to get a deeper insight into the behaviour of your ML model. The project will also benefit your career as a decision maker in an executive position, or consultant, interested in deploying trusted and accountable ML applications.
Instructor
Coursera
Frequently Asked Questions
How much does Interpretable Machine Learning Applications: Part 1 cost?
Interpretable Machine Learning Applications: Part 1 costs $9.99. Check the course page for current pricing and available discounts.
Who teaches Interpretable Machine Learning Applications: Part 1?
Interpretable Machine Learning Applications: Part 1 is taught by Coursera, Coursera.
What skill level is Interpretable Machine Learning Applications: Part 1 for?
This course is designed for all levels learners.