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We've implemented `ensemble.AdaBoostClassifier`, but there's other variants to explore.
Some interesting papers:
- [Online Gradient Boosting](https://arxiv.org/pdf/1506.04820.pdf)
- [Online Bagging …
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Zomato is a popular mobile application in India that connects customers to nearby food chains by providing their delivery persons. It is essential to have a rough estimate of how much preparation woul…
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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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### Willingness to contribute
No. I cannot contribute this feature at this time.
### Proposal Summary
I would like support for [pandas categorical data](https://pandas.pydata.org/docs/user_guide/ca…
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Can I add few more algorithms?like lightgbm,catboost,arima etc
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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.
4ryn updated
5 months ago
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LightGBM:
Efficiency: LightGBM is designed to be highly efficient and can handle large datasets with faster training times.
Accuracy: It often provides better accuracy compared to other gradient b…
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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 …