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PyCaret: Anatomy of Regression
Coursera Project Network

PyCaret: Anatomy of Regression

Taught in English

Muhammad Saad uddin

Instructor: Muhammad Saad uddin

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours 15 mins
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.4

(11 reviews)

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

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours 15 mins
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.4

(11 reviews)

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

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  • Gain hands-on experience solving real-world job tasks
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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:

  1. Task 1: Import Data, Initial dataset check and setup Pycaret environment

  2. Task 2: Create regression environment and compare model performance

  3. Task 3: Create best performing regression models

  4. Task 4: Hyper Parameter tuning the models

  5. Task 5: Stacking & Ensemble

  6. Task 6: Visualize and interpret the machine learning model

Recommended experience

Familiar with regression models, Sklearn and Python

7 project images

Instructor

Muhammad Saad uddin
Coursera Project Network
12 Courses7,080 learners

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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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