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Support Vector Machines in Python, From Start to Finish

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Support Vector Machines in Python, From Start to Finish

Josh Starmer

Instructor: Josh Starmer

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Learn, practice, and apply job-ready skills with expert guidance
4.6

(153 reviews)

Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.6

(153 reviews)

Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Import data into, and manipulating a pandas dataframe

  • Format the data for a support vector machine, including One-Hot Encoding and missing data.

  • Optimize parameters for the radial basis function and classification

  • Build, evaluate, draw and interpret a support vector machine

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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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. Import the modules that will do all the work (4 min)

  2. Import the data (3 min)

  3. Missing Data Part 1: Identifying Missing Data (4 min)

  4. Missing Data Part 2: Dealing With Missing Data (5 min)

  5. Format Data Part 1: Split the Data into Dependent and Independent Variables (3 min)

  6. Format the Data Part 2: One-Hot Encoding (11 min)

  7. Format the Data Part 3: Centering and Scaling (2 min)

  8. Build A Preliminary Support Vector Machine (2 min)

  9. Optimize SVM with Cross Validation (2 min)

  10. Building, Evaluating, Drawing, and Interpreting the Final Support Vector Machine (10 min)

Recommended experience

Some Python and the concepts behind Support Vector Machines, the Radial Basis Function, Regularization, Cross Validation and Confusion Matrices.

10 project images

Instructor

Instructor ratings
4.5 (5 ratings)
Josh Starmer
Coursera Project Network
2 Courses12,887 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 153

4.6

153 reviews

  • 5 stars

    75.16%

  • 4 stars

    16.33%

  • 3 stars

    7.18%

  • 2 stars

    0.65%

  • 1 star

    0.65%

AH
5

Reviewed on Apr 15, 2020

VD
5

Reviewed on Jul 20, 2020

RS
5

Reviewed on Aug 6, 2020

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