[Machine Learning] Understanding Support Vector Machine(SVM) algorithm

[jmuchina]

Proposed title of article

Understanding Support Vector Machine(SVM) algorithm

Proposed article introduction

This supervised machine learning approach, known as the Support Vector Machine (SVM), can be used to tackle problems in classification and regression. Classification problems are the most common application for this technique. N is the number of features you have, and the value of each component is the value of a specific coordinate.

The SVM algorithm plots each data point as a point in n-dimensional space. This tutorial will talk about Support Vector Machine(SVM) algorithm in detail.

Key takeaways

By the end of this tutorial the reader will have understood the following;

• What is Support Vector Machine?
• How does it work?
• How to implement SVM in Python and R?
• How to tune Parameters of SVM?
• Pros and Cons associated with SVM

Article quality

My article will be approachable for readers, and my code examples will be clear and concise so that they can be understood by a wide range of people. The Support Vector Machine(SVM) algorithm will be demonstrated in my article by creating an actual file, which will make the tutorial more practical and more straightforward to grasp.

References

N/A

[ahmadmardeni1]

Good afternoon and thank you for submitting your topic suggestion. @jmuchina Your topic form has been entered into our queue and should be reviewed (for approval) as soon as a content moderator is finished reviewing the ones in the queue before it.

[hectorkambow]

@jmuchina

We're really looking for unique/original content, and based on the content provided, it seems that information that you intend to cover is already readily available through the documentation or via many other blog sites.

Could you please expand upon how your content will differ from what is already available through other websites and documentation? We lean towards content that offers an original viewpoint/approach around programming-centric topics.

[jmuchina]

Hello, @hectorkambow I have looked at the suggested articles; I will write a well-explained article for readers to grasp the concepts more efficiently. I will also add more information on it such as (how to select vector machines kernels) which is not in the blogs you mentioned to make the article more unique and more helpful Thank you.

[ahmadmardeni1]

Sounds like a helpful topic - let's please be sure it adds value beyond what is in any official docs and/or what is covered in other blog sites. (the articles should go beyond a basic explanation - and it is always best to reference any EngEd article and build upon it). @jmuchina

Please be attentive to grammar/readability and make sure that you put your article through a thorough editing review prior to submitting it for final approval. (There are some great free tools that we reference in EngEd resources.) ANY ARTICLE SUBMITTED WITH GLARING ERRORS WILL BE IMMEDIATELY CLOSED.

Please be sure to double-check that it does not overlap with any existing EngEd articles, articles on other blog sites, or any incoming EngEd topic suggestions (if you haven't already) to avoid any potential article closure, please reference any relevant EngEd articles in yours. - Approved

[hectorkambow]

Just wanted to follow up on this topic, as we will be clearing up the queue where possible.

Just and FYI I will be closing this topic form just to help clear up the queue where possible - can be REOPENED at anytime when ready. 👍

[jmuchina]

Hello, @hectorkambow Would you open this suggestion the article is ready I'm sorry for the delays. Thank You

[jmuchina]

Hi, @hectorkambow I'm still waiting for you to open this please. Thanks

[jmuchina]

can anyone reopen this for me please

[jmuchina]

@Ericgacoki thank you.