Data Science with Python : Extra Tree Article

Description

Welcome to 'DSWP' Team, good to see you here

in this issue, you will make an article about Extra Tree and why it is important and used it in one notebook

To get assigned to this issue, add your serial numbers mentioned in the spreadsheet of "Data Science with Python", the approach one would follow, and choice you prefer (Documentation, Audio, Video). You can go with all three or any number of options you're interested to work on.

If you had referred any resources, add them up in "DS Resources". Similarly if you had used datasets, include them in "DS Datasets".

Domain: Machine Learning

Mentors Assigned : @Kareem-negm / @DhruvBajaj01

Start from: you can use this notebook to give you a sample overview

Points to Note :

The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.

"Issue Title" and "PR Title should be the same. Include issue number along with it.

Changes should be made inside the Datascience_With_Python/ directory & Datascience_With_Python branch.

Follow Contributing Guidelines & Code of Conduct before start Contributing.

This issue is only for 'GWOC' contributors of 'DSWP' domain.

All the best. Enjoy your open source journey ahead. 😎

Domain

Datascience with Python

Type of Contribution

Video, Documentation

Code of Conduct

[X] I follow Contributing Guidelines & Code of conduct of this project.

Hello @Kareem-negm,
Thank you for opening an issue. :octocat:
Note - Self-assigns by the original author will be prioritised by mentors manually
To get assigned to this particular issue please use /assign
Check this guide before contributing.

Name :Mohit kumar DsWP Batch : 4 Github profile = https://github.com/m0hit-kumar Contribution type - Documentation

I will like to work on this, before that can you specify what exactly I have to do in this. I get the rough idea but it would be convenient for me to work effectively if you can explain me a little bit more.

Issue assigned to @m0hit-kumar for documentation

Complete explanation along with how its used in notebook and do document it up.

Complete explanation along with how its used in notebook and do document it up.

@prathimacode-hub mam here I am not able to understand what tree is referring to. In machine learning, we have trees in different algorithms so is it about that, or the structure of the notebook which is also called tree-like firstly we have heading then subheadings and text and code, etc, or it's about the tree of machine learning different branches of it supervised, unsupervised and reinforcement learning.

The topic is extra tree. You can ask mentor @Kareem-negm for better understanding. @m0hit-kumar

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