Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Python Data Science Toolbox (Part 2)
Supervised Learning with scikit-learn
Unsupervised Learning in Python
What You Will Learn
Learn to build pipelines that stand the test of time
In this chapter, you will be reminded of the basics of a supervised learning workflow
In this chapter, you will critically examine the ways in which expert knowledge is incorporated in supervised learning
You will also learn to diagnose dataset shift and mitigate the effect that a changing environment can have on your model's accuracy
Course Instructors
Course Reviews
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