Support Vector Machines in R

Engineering and Technology

Short Description

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Long Description

This course offers a comprehensive introduction to the support vector machine (SVM), a highly effective classifier. Through a visual and intuitive approach, participants will gain a solid understanding of the SVM model and its classification capabilities. The course specifically focuses on utilizing R's libsvm implementation from the e1071 package, providing students with practical experience. Throughout the course, students will develop an intuitive grasp of key concepts, including hard and soft margins, the kernel trick, various kernel types, and the process of tuning SVM parameters. By the end of the course, participants will be well-equipped to effectively classify data using this impressive model.

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Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

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