ML 7.4: XGBoost (V)

[Isha307]

Description

📌 Issues for Week 7

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

:arrow_forward: This issue will helps readers in acquiring all the knowledge that one needs to know about ----

XGBoost.

:red_circle: To get assigned to this issue, add your Batch Numbers mentioned in the spreadsheet of "Machine Learning", 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.

✔️ Domain : Machine Learning

:red_circle::yellow_circle: 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 Machine Learning/Machine_Learning/Ensemble_based_Learning_&_Probabilistic_ML Branch.

• Follow Contributing Guidelines & Code of Conduct before start Contributing.

• This issue is only for 'GWOC' contributors of 'Machine Learning' domain.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name
• Batch Number
• GitHub Profile Link
• Which type of Contribution you want to make :
  • [ ] Video

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Happy Contributing 🚀

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

Domain

Machine Learning

Type of Contribution

Video

Code of Conduct

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

[github-actions[bot]]

Hello @Isha307,
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.

[deepthi1107]

Hello, I am Deepthi M with serial number:198, Batch-2. I would like to do video on this issue.my approach: a detailed explanation