prathimacode-hub / DS-ScriptsNook

🎊One Stop Destination to get acquainted with scripts in Data Science. Turn yourself into a pro. Show your support by ✨ this repository.
https://prathimacode-hub.github.io/DS-ScriptsNook/
MIT License
11 stars 25 forks source link

Support Vector Machines #37

Open prathimacode-hub opened 3 years ago

prathimacode-hub commented 3 years ago

Hey DCP participants, good to see you here

This issue will helps readers in giving all the guidance that one needs to learn about Support Vector Machines. Tutorial to Support Vector Machines and how it's applied using sample code.

"Project Title" should be the "Issue Title" mentioned here.

If you like to work on this issue, follow the given guidelines for code as well as for the README. You have to be as elaborative as possible. Make sure you also maintain the project structure provided. Just comment and get it assigned. Issues are alloted on FCFS basis.

The main intention of this repo is to educate beginners with all the concepts related to datascience so that they could feel confident to apply these things learnt in practical exposure.

Enjoy your open source journey ahead. 😎

suy1968 commented 3 years ago

Please assign me as I am a contributor in Deveincept

deepthi1107 commented 3 years ago

please do assign me, mam, @prathimacode-hub Approach: A detailed explanation with code along with advantages, application, and disadvantages. I am a participant in hacktoberfest 2021.

avinash-218 commented 3 years ago

Define You:

Is your feature request related to a problem? Please describe.

Describe the solution you'd like...

Steps:

prathimacode-hub commented 3 years ago

Issue assigned to @avinash-218

prathimacode-hub commented 3 years ago

Update please? @avinash-218

avinash-218 commented 3 years ago

@prathimacode-hub should I add my changes under machine learning -> tutorials directory ?

prathimacode-hub commented 3 years ago

Have you done this? @avinash-218

avinash-218 commented 3 years ago

Have you done this? @avinash-218

I have done but I am not sure under which directory I must add the files. (Please check the previous comments)

@prathimacode-hub

prathimacode-hub commented 3 years ago

It should go under "/Machine Learning/Algorithms/" folder. @avinash-218