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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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**Have you checked the [list of proposed rules](https://github.com/Benjamin-Lee/deep-rules/issues?q=is%3Aissue+is%3Aopen+label%3Arule) to see if the rule has already been proposed?**
- [x] Yes
…
rasbt updated
5 years ago
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I've implemented GradientBoost and a more efficient version of AdaBoost that interface with `treeregressor` and `treeclassifier` and am now looking to port them to the light-weight front facing struct…
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** :
:red_circle: **Aim** :
:red_circle: **Dataset** :
:red_circle: **Approach** : Try to use 3-4 algorithms to implement …
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### Problem Description
Skrub currently encodes some features in the datetime encoder, but there are a few that feel missing.
- Seasonal patterns during the year
- Seasonal patterns during the…
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Customer churn refers to the phenomenon where customers stop doing business with a company. In the context of a bank, it means customers closing their accounts or ceasing to use banking services. Buil…
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Maybe I missed it, but I could not find documentation about how the outer loop is being performed when nested resampling is done. I assume the inner loop is defined via one of the algorithms in sectio…
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Compare with resources as available here on Kaggle:
https://www.kaggle.com/getting-started/51078#290875