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Top 3 Jupyter Notebook gradient-boosting Projects
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ML-Prediction-LoL
In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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csgo-impact-rating
A probabilistic player rating system for Counter Strike: Global Offensive, powered by machine learning
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2024-03-08.
Jupyter Notebook gradient-boosting related posts
- Shap v0.45.0
- [D] Convert a ML model into a rule based system
- [P] tinyshap: A minimal implementation of the SHAP algorithm
- What’s after model adequacy?
- Feature importance with feature engineering?
- Model interpretation with many features
- SHAP Value Interpretation
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Index
What are some of the best open-source gradient-boosting projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | shap | 21,536 |
| 2 | ML-Prediction-LoL | 43 |
| 3 | csgo-impact-rating | 9 |
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