In this 2 hour 10 mins long project-based course, you will learn how 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 performance of several models, learn how to tune your model without doing an exhaustive search, create impressive visuals of models, feature importance and much more.
PyCaret: Anatomy of Classification
Taught in English
Instructor: Muhammad Saad uddin
Included with
Guided Project
Recommended experience
(12 reviews)
What you'll learn
All the steps from environment setup, model performance, multi model stacking to visualizations
Skills you'll practice
Details to know
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Guided Project
Recommended experience
(12 reviews)
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Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
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:
Import Data, Initial dataset check and setup Pycaret(install and set up environment)
Compare model performance
Create best performing models
Hyper Parameter tuning the models
Stacking, Blending & Ensemble multiple models
Visualize performance
Recommended experience
Understanding of classification algorithms and parameters, familiar with Jupyter Lab(Not necessary) .
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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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Reviewed on Sep 12, 2020
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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