Support Vector Machine in R | SVM Algorithm Explained with Example | Data Science in R | Simplilearn

preview_player
Показать описание
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.

Below topics are explained in this Support Vector Machine in Rvideo:
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

#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.

➡️ 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.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
Рекомендации по теме
Комментарии
Автор

Svm explanation starts at 5:00 and example code at 14:33. Excellent progression in this video!

caseyj
Автор

Absolutely great for a good beginner intuition!

yasinilulea
Автор

Machine Learning is the Future and yours can begin today. Comment below with you email to get our latest Machine Learning Career Guide. Let your journey begin.



Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you.

Thanks for watching the video. Cheers!

SimplilearnOfficial
Автор

Nice explanation of SVK for beginners along with simple example that will set the platform for budding Data Scientist to explore more on SVK. Thanks for to the point and clear explanation.

hameedhm
Автор

Great video! Very well explained starting from pure intuition and ending with the R example. Thank you!

Sabriel
Автор

very nice video on SVM, it would be more helpful in learning SVM if you can provide the data set and the code

ravikhandsiya
Автор

Great Video! can I ask for the dataset? can't find the data on the video description, thank you.

pinkychua
Автор

Not too hard to understand for a beginner like me. Thank you so much!

BukanReviewBR
Автор

Nice way to introduce SVM to beginners.

srishtirao
Автор

Useful VDO ! Request to share the dataset.

sudiptomitra
Автор

Hi Thanks for this great video. i would like to have the dataset and the R code pls

tharangagunawardena
Автор

Can I please get a solved example of how to select the support vectors and calculate the margin for that particular hyperplane?

rutujashinde
Автор

Hi could I get the dataset and code? I've subscribed to your channel. It's awesome!

positivevines
Автор

Can you share hands on or any link for svm classification on raster/satellite data?

prateekverma
Автор

from where can I get the R code that you used to plot horse versus mule data and to plot also the hyper plane ?

duaashaalan
Автор

Hello .. Please can you help me with my project I need the code and data.

dhuhakhalaf
Автор

why ishorse is equal to rep(-1, 10), rep(+1, 10)?

vandread
Автор

I'd love to get the code for that

jordanenniehaggerty
Автор

Can I please get a copy of the dataset

anitachang
Автор

Can you please share the dataset and code...

AshishShukla-girz