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The use of Gradient Boosting Machines algorithms ( XGBoost) or Neural Networks can enhance the performance of the model .
Please assign me ,to work on this issue.
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Jon, can you provide a tutorial (or code snippet) on how to use this tool for boosting algorithms like LightGBM
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Poker Hand Prediction
:red_circle: **Aim** : To Predict the Poker Hand
:red_circle: **Dataset** : https://archive.ics.…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
It provides classification, regression, and clustering algorithms such as the [SVM] algori…
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Dear author, thanks for your wonderful effort in creating this repo.
I've pushed this model on the Replicate website so that people can try it out easily.
Here is the model link on Replicate: [h…
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I am currently exploring the application of XGBoost in medical diagnostics, specifically in the initial screening diagnosis of glaucoma using structured real medical data. I came across this project a…
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Hello all,
Before posing my question, I would like to thank all the contributors of the package. Great work!
I am coming from non-ML background(Sociology). In my field, researchers mostly rely …
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Hello I am a contributor, I would like to contribute by using ensemble machine learning algorithms like bagging, boosting, stacking, voting to the model
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1. How to Explain Gradient Boosting
* https://explained.ai/gradient-boosting/index.html
* check out `Recommended Readings`
1. Towards Data Science - Boosting Algorithms by SauceCat
* h…