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girlscript / winter-of-contributing

GirlScript Winter of Contributing is a three-month-long Open-Source Program organized by🧡GirlScript Foundation to create the world's largest multilingual content repository that will be available to everyone.
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Data Science with Python : Outliers Detection #381

Open prathimacode-hub opened 2 years ago

prathimacode-hub commented 2 years ago

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

This issue will helps readers in acquiring all the guidance that one needs to be familiar with Outliers Detection. Tutorial to Outliers Detection 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.

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 : Peehu Saxena / Arya Patel

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. 😎

Vidit-Ostwal-zz commented 2 years ago

Name : Vidit Ostwal SR no. 499 DSWP Type: documentation Approach : what are outliers , the approach ,.ipynb files, how to remove then, examples

ishrutis commented 2 years ago

I want to be assigned. SHREYA KUMARI - 457 (Documentation) Approach - introduction, steps and approaches, examples ,methods for removing and detecting outliers, applications.

prathimacode-hub commented 2 years ago

On FCFS basis, issue is assigned to @Vidit-Ostwal for documentation

@ishreyakumari, you can go with audio/video for the same. Else stunning issues are arriving sooner.

BhaswatiRoy commented 2 years ago

I want to contribute to this issue :
Name-Bhaswati Roy
Domain-Data Science with Python Batch-19
Serial No-787 Issue Number-381 Contribution Approaches-what is an outlier, how to detect outlier by statistic and data visualization method, ways to remove outliers

m0hit-kumar commented 2 years ago

I want to contribute to this issue : Name-Mohit Kumar Domain-Data Science with Python Batch-4 Issue Number-381 Contribution Approaches-what is an outlier, how to detect outlier by statistic and data visualization method, and ways to remove them

prathimacode-hub commented 2 years ago

@m0hit-kumar @BhaswatiRoy audio or video?

BhaswatiRoy commented 2 years ago

@m0hit-kumar @BhaswatiRoy audio or video?

audio maam

ashish-reddy-20-08 commented 2 years ago

@prathimacode-hub , Mam Hello, I am M. Ashish Reddy. I would like to do video on this issue. Batch number: 5 serial number:174. Approach: A detailed explanation with examples and real life uses

prathimacode-hub commented 2 years ago

Issue assigned to @ashish-reddy-20-08 for video contribution

prathimacode-hub commented 2 years ago

Issue assigned to @BhaswatiRoy for audio contribution