Coursera Project Network
Support Vector Machine Classification in Python
Coursera Project Network

Support Vector Machine Classification in Python

Taught in English

Mo Rebaie

Instructor: Mo Rebaie

6,451 already enrolled

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Guided Project

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

Intermediate level

Recommended experience

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

(147 reviews)

What you'll learn

  • import the dataset and perform training/testing set splits

  • Apply feature scaling for normalization

  • Build an SVM classifier and make Predictions

  • Build a Confusion Matrix and Visualize the results

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

(147 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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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 concept of building a Support Vector Machine classification algorithm with a real-world example

  2. Import and explore the dataset and libraries: numpy, pandas and matplotlib

  3. Split the dataset into training set and testing set

  4. Apply feature scaling to normalize the input features

  5. Fit the SVM classifier to the dataset and making predictions

  6. Visualize training and testing sets results

Recommended experience

Basic knowledge of Python libraries (numpy, pandas, matplotlib) and arrays. Basic knowledge about supervised learning algorithms (classification).

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Instructor

Mo Rebaie
Coursera Project Network
17 Courses33,176 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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4.4

147 reviews

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    8.16%

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    3.40%

  • 1 star

    3.40%

AG
5

Reviewed on Jun 16, 2020

NK
5

Reviewed on May 5, 2020

YA
4

Reviewed on Sep 11, 2020

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