In this 1-hour long guided project-based course, you will learn how to use Python to implement a Support Vector Machine algorithm for classification. This type of algorithm classifies output data and makes predictions. The output of this model is a set of visualized scattered plots separated with a straight line.
Support Vector Machine Classification in Python
Taught in English
Instructor: Mo Rebaie
6,465 already enrolled
Included with
Guided Project
Recommended experience
(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
Skills you'll practice
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Guided Project
Recommended experience
(147 reviews)
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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:
Understand the concept of building a Support Vector Machine classification algorithm with a real-world example
Import and explore the dataset and libraries: numpy, pandas and matplotlib
Split the dataset into training set and testing set
Apply feature scaling to normalize the input features
Fit the SVM classifier to the dataset and making predictions
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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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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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.