Coursera Project Network
Machine Learning for Kyphosis Disease Classification
Coursera Project Network

Machine Learning for Kyphosis Disease Classification

Taught in English

Ryan Ahmed

Instructor: Ryan Ahmed

Included with Coursera Plus

Guided Project

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

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(11 reviews)

What you'll learn

  • Understand the theory and intuition behind decision trees and random forest classifier models

  • Build, train and test a decision tree and random forest classifier models in Sklearn

  • Perform data cleaning, feature engineering and visualization

Details to know

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Guided Project

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

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(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

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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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. Understand the Problem Statement and Business Case

  2. Import Libraries and Datasets

  3. Practice Opportunity #1 [Optional]

  4. Perform Data Visualization

  5. Practice Opportunity #2 [Optional]

  6. Create Training and Testing Datasets

  7. Train a Logistic Regression Classifier Model

  8. Evaluate Trained Model Performance

  9. Understand the theory of Decision Trees and Random Forest

  10. Improve the Model

  11. Practice Opportunity #3 [Optional]

Recommended experience

python programming and basic math background

11 project images

Instructor

Ryan Ahmed
Coursera Project Network
59 Courses117,779 learners

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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Learner reviews

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4.5

11 reviews

  • 5 stars

    54.54%

  • 4 stars

    45.45%

  • 3 stars

    0%

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  • 1 star

    0%

RA
4

Reviewed on Oct 6, 2022

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