Open Kareem-negm opened 3 years ago
Hello @Kareem-negm,
Thank you for opening an issue. :octocat:
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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
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
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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