Support Vector Machines (SVM) in R: A Unique ML technique | Programming Buddy Club | Free Udemy Courses

LEARN SUPPORT VECTOR MACHINES IN R STUDIO. BASIC SVM MODELS TO KERNEL-BASED ADVANCED SVM MODELS OF MACHINE LEARNING

Discount - $  FREE 100% Off

• Lectures - 46 lectures
• Skill Level -Beginner Level
• Language -  English
• Published -  Last updated 1/2020
• Coupon -JANFREE2020
• Rating -
• Students Enrolled -

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Course Includes

• ☑️ 5 hours on-demand video

• ☑️ 2 articles

• ☑️ 5 downloadable resources

• ☑️ Full lifetime access

• ☑️ Access on mobile and TV

• ☑️ Certificate of Completion

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What Will I learn?

• ☑️ Get a solid understanding of Support Vector Machines (SVM)

• ☑️ Understand the business scenarios where Support Vector Machines (SVM) is applicable

• ☑️ Tune a machine learning model's hyperparameters and evaluate its performance.

• ☑️ Use Support Vector Machines (SVM) to make predictions

• ☑️ Implementation of SVM models in R programming language - R Studio

Requirements

• ☑️ Students will need to install R and R Studio software but we have a separate lecture to help you install the same

Who is the target audience?

• ☑️ People pursuing a career in data science

• ☑️ Working Professionals beginning their Data journey

• ☑️ Statisticians needing more practical experience

• ☑️ Anyone curious to master SVM technique from Beginner to Advanced in short span of time

Take this course!

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