Coursera Project Network
Unsupervised Machine Learning for Customer Market Segmentation
Coursera Project Network

Unsupervised Machine Learning for Customer Market Segmentation

Taught in English

Ryan Ahmed

Instructor: Ryan Ahmed

12,079 already enrolled

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Guided Project

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

Beginner level

Recommended experience

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

(329 reviews)

What you'll learn

  • Understand how to leverage the power of machine learning to transform marketing departments and perform customer segmentation

  • Compile and fit unsupervised machine learning models such as PCA and K-Means to training data.

  • Understand the theory and intuition behind Principal Component Analysis (PCA) and k-means clustering machine learning algorithm

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

(329 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. Visualize and explore datasets

  4. Understand the theory and intuition behind k-means clustering machine learning algorithm

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

  6. Use Scikit-Learn library to find the optimal number of clusters using elbow method

  7. Apply k-means using Scikit-Learn to perform customer segmentation

  8. Apply Principal Component Analysis (PCA) technique to perform dimensionality reduction and data visualization

Recommended experience

Basic python programming and mathematics.

1 project image

Instructor

Instructor ratings
4.8 (12 ratings)
Ryan Ahmed
Coursera Project Network
60 Courses110,990 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 329

4.7

329 reviews

  • 5 stars

    79.02%

  • 4 stars

    17.62%

  • 3 stars

    1.82%

  • 2 stars

    1.21%

  • 1 star

    0.30%

GV
5

Reviewed on Sep 14, 2020

AB
5

Reviewed on Sep 6, 2020

SA
5

Reviewed on May 18, 2021

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