PyCaret: Anatomy of Regression
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. Note: This project works best for learners who are based in the North America region.
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- Level Intermediate
- Duration 2 hours
- Course by Coursera Project Network
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Offered by
About
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. Note: This project works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.Modules
Practical Application via Rhyme
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2
Readings
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1
Plugin
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1
Lab
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1
Assignment
1
Assignment
- Graded Quiz: Test your Guided Project Knowledge
1
Labs
- PyCaret: Anatomy of Regression
2
Readings
- PyCaret: Anatomy of Regression
- Regression Module
Auto Summary
Dive into the world of data science with "PyCaret: Anatomy of Regression," a 2-hour and 15-minute project-based course led by Coursera. Perfect for intermediate learners, this course focuses on setting up the PyCaret environment, data preparation, model creation, performance comparison, and tuning. You'll also learn to create impressive model visuals and interpret results using the SHAP library, all with minimal coding. Ideal for North American learners, this free course offers a comprehensive introduction to regression in data science and AI.
Muhammad Saad uddin