Data Science with Python : Random Forest Algorithm

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

This issue will helps readers in acquiring all the knowledge to learn about getting involved with Random Forest Algorithm. Tutorial to Random Forest Algorithm and how it's applied using sample code.

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.

This issue is created for beginners and who aren't assigned to any issues yet.

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 : Aishani Singh / Gauri Bharadwaj

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. 😎

Hello @prathimacode-hub,
Thank you for opening an issue. :octocat:
Check this guide before contributing.

Hey ! Can I work on this issue. Batch: 03 github link: https://github.com/AdityaStark7

Hey Can I work on this issue Batch: 19 Name: Pranjal Mittal Github Link: https://github.com/Praannjaal Contribution Type: Documentation

I'd like work on this with step by step documentation and code. Name: Akshat Bhardwaj Batch - 15 Sno. - 543 Approach: Getting a dataset appropriate for the ML model. Data quality check, i. e : Removal of outliers Data Visualization Training of dataset ML model building Getting an accuracy score and confusion matrix.

Issue assigned to @Akshat2019VITB for documentation

@AdityaStark7 @Praannjaal, if you are interested for audio / video let me know. This issue is done on contributor's interest. Else if you have got any issue you would like to work on, kindly drop your message in thread provided in discord.

I want to contribute to this issue :
Name-Bhaswati Roy
Domain-Data Science with Python Batch-19
Serial No-787 Issue Number-1038 Type-Audio Contribution Approaches-explain random forest, why it is an ensemble approach, relation with decision tree,

Issue assigned to @Akshat2019VITB for documentation

@AdityaStark7 @Praannjaal, if you are interested for audio / video let me know. This issue is done on contributor's interest. Else if you have got any issue you would like to work on, kindly drop your message in thread provided in discord.

I have only opted for documentation , I can work with audio but am I allowed to do so?

Yes, if you're interested, you can choose audio. @Praannjaal

Yes, if you're interested, you can choose audio. @Praannjaal

Yes , I'm interested

@prathimacode-hub add me as assignee

@Akshat2019VITB any updates on the documentation?

@Akshat2019VITB any updates on the documentation?

I am done with the documentation, the PR is pending for review after some changes that were requested.

Already an issue assigned to you I think. @BhaswatiRoy

And @Praannjaal, you can work on audio contribution

Already an issue assigned to you I think. @BhaswatiRoy

And @Praannjaal, you can work on audio contribution

yes ma'am I am already doing an issue

Hello, I am Deepthi M with serial number:172, Batch-5. I would like to do video on this issue. My approach: a detailed explanation

Issue assigned to @deepthi1107 for video

girlscript / winter-of-contributing

Data Science with Python : Random Forest Algorithm #1038