In this 2 hour and 15 mins long project-based course, you will learn how to ow to set up PyCaret Environment and become familiar with the variety of data preparing tasks done during setup, be able to create, see and compare the performance of several models, learn how to tune your model without doing an exhaustive search, create impressive visuals of models, interpret models with the wrapper around SHAP Library and much more & all this with just a few lines of code.
PyCaret: Anatomy of Regression
Learn, practice, and apply job-ready skills with expert guidance
4.4
(11 reviews)
Intermediate level
Recommended experience
2 hours 15 mins
Learn at your own pace
Hands-on learning
What you'll learn
How to create a regression environment and compare model performance
Create best performing regression models
Using hyper parameter to tune models
Skills you'll practice
Details to know
Earn a career certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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Learn, practice, and apply job-ready skills in less than 2 hours
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Task 1: Import Data, Initial dataset check and setup Pycaret environment
Task 2: Create regression environment and compare model performance
Task 3: Create best performing regression models
Task 4: Hyper Parameter tuning the models
Task 5: Stacking & Ensemble
Task 6: Visualize and interpret the machine learning model
Recommended experience
Familiar with regression models, Sklearn and Python
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Instructor
Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Frequently asked questions
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.