Open prathimacode-hub opened 2 years ago
i want to contribute in this issue DS python batch 20
@Malvikakaushal2001 Kindly provide all the details.
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.
Aryan Blouria Serial No. 597 Documentation
Approach: what is XGB, how it works, python implementation
Other issue is already assigned to you. @aryanblouria
I want to contribute to this issue :
Name-Bhaswati Roy
Domain-Data Science with Python
Batch-19
Serial No-787
Issue Number-417
Contribution Approaches-boosting algorithms, why it is getting famous, about xgboost, how is it different from normal algorithms
I want to contribute to this issue : Name-Nikita Emberi Domain-Data Science with Python Batch-19 Serial No-797 Issue Number-417 Choice-Documentation Contribution Approaches-Introduction to Boosting, Different Types of Boosting Algorithms Available, History of XGBoost and its advantages over previous boosting algorithms, Math Behind XGBoost, Unique features of XGBoostClassifier, XGBoostClassifier HyperParameters, Implementation of XGBoost on Boston Dataset.
Already an issue is assigned to you. @BhaswatiRoy
This issue is assigned to @NikitaEmberi for documentation
Hello @prathimacode-hub , Please put me up as an Assignees
Name: Archana M Batch :15 type: audio serial no: 500 I would like to work on this issue
Issue is assigned to @23-24 for audio contribution
@prathimacode-hub , Mam 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
Issue assigned to @ashish-reddy-20-08 for video contribution
Welcome to 'DSWP' Team, good to see you here
This issue will helps readers in giving all that's needed to learn about XGBoost. Tutorial to XGBoost 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 : Kareem Negm / Jivitesh Jain
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. 😎