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This Support Vector Machine in R tutorial video will help you understand what Support Vector Machines are, and the basics of the SVM kernel. You will look at a use case to learn SVM Algorithm with an example where we will classify horses and mules from a given data set using the SVM algorithm.

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Below topics are explained in this "Support Vector Machine in R" video:
00:00 - 00:42 Agenda for SVM tutorial
00:42 - 01:14 What is Machine Learning?
01:14 - 03:15 Machine Learning algorithms
03:15 - 03:59 Supervised Learning - Classification
03:59 - 04:30 What is a support vector machine?
04:30 - 11:03 Understanding support vector machine in R
11:03 - 13:17 Understanding SVM kernel
13:17 - 21:02 Use case: Classifying horses and mules

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Support Vector Machine Article: https://bit.ly/3fc11Q1

You can also go through the Slides here: https://goo.gl/w72XBR

#SVMinR #SupportVectorMachineinR #SupportVectorMachines #DataScienceWithR #DataScienceCourse #DataScience #Simplilearn

What are Support Vector Machines?
Support Vector Machines are powerful supervised learning algorithms for both classification and regression. It is a discriminative classifier that is formally defined by a separating hyperplane. So given labelled training data, the algorithm outputs an optimal hyperplane that categorizes new examples.

Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

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Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
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- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

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