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Problem:
I have a model in RStudio witch runs different gradient boosting libraries (lgbm, xgboost, catboost). It selects a dataset, builds a model, predicts, and repeats for a different dataset. Wit…
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### Supervised learning
- labeled data
- direct feedback
- predict outcome or future
-> "classification" "regression"
1) 일반화 선형 모델(GLM)
2) 의사결정트리(DT)
3) RANDOM FOREST
4) GBM/LGBM
5) DNN
…
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### Description
Welcome to 'DSWP' Team, good to see you here
In this issue, you will make a tutorial and notebook about the Gradient Boosting algorithm
To get assigned to this issue, add yo…
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#13 这里也有一部分,可以合到一起
## scikit-learn
[sklearn中文文档](http://sklearn.lzjqsdd.com/)
[awesome-python](https://awesome-python.com/)
[orange Data Mining](https://orange.biolab.si/download/)
shniu updated
6 years ago
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great material thanks
only may you share what book you used for First-Difference Estimator
https://www.youtube.com/watch?v=p9NhSrTugYM&list=PLOQU3c_3DSpLTBa0vqPFVwDCqXlXiu49j&index=55
also for a…
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Which framework should be learned after python?
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Sometimes it is convenient to group parametrized tests by function name, to look at the total time taken by the group of parametrized tests, rather than individual parametrized tests. When trying mult…
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### pycaret version checks
- [X] I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
- [X] I have confirmed this bug exists on the [latest…
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Here's a method they use for the xgboost paper https://arxiv.org/abs/1603.02754:
> Since a tree based model is better at handling continuous features, we preprocess the data by calculating the sta…
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This issue is to maintain all features request on one page.
Note to **contributors**: If you want to work for a requested feature, re-open the linked issue. Everyone is welcome to work on any of th…