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K-Means Clustering 101: World Happiness Report
Coursera Project Network

K-Means Clustering 101: World Happiness Report

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

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.7

(13 reviews)

What you'll learn

  • Understand how to leverage the power of machine learning to perform unsupervised segmentation

  • Learn how to use Plotly to visualize geographical data

  • Learn how to obtain the optimal number of clusters using the elbow method

Details to know

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Guided Project

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

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.7

(13 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 datasets and libraries

  3. Perform exploratory data analysis

  4. Perform data visualization - part 1

  5. Perform data visualization - part 1

  6. Prepare the data to feed the clustering model

  7. Understand the intuition behind k-means clustering algorithm

  8. Find the optimal number of clusters

  9. Apply k-means using scikit-learn to perform segmentation

  10. Visualize the clusters

Recommended experience

Basic python programming and mathematics.

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Instructor

Ryan Ahmed
Coursera Project Network
60 Courses109,745 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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Learner reviews

Showing 3 of 13

4.7

13 reviews

  • 5 stars

    69.23%

  • 4 stars

    30.76%

  • 3 stars

    0%

  • 2 stars

    0%

  • 1 star

    0%

CP
5

Reviewed on May 29, 2022

AB
4

Reviewed on Dec 17, 2022

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