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## 🚀 Feature Request
### Motivation
I would like to introduce support for the `langevin=True` parameter in LightAutoML. This parameter is the Stochastic Gradient Langevin Boosting (SGLB) method, whi…
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Hi,
Thanks for this awesome list of papers, this is very convenient! I just noticed that the list does not include Friedman 2001, "Greedy function approximation: a gradient boosting machine". Given…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Flight Fare Prediction
:red_circle: **Aim** : Building Flask web app which predicts fare of Flight tick…
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# User Story
As a machine learning developer, I want to use machine learning or deep learning to predict the direction of any crypto-asset (i.e. btc_usdt), so that I can develop ML-based indicators…
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Used Car Price Prediction
:red_circle: **Aim** : The aim is to predict the used car price using machine learning method…
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### Model Name
Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers
### Model Description
This model uses a molecular encod…
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### Decision Tree
- feature pre-processing의 영향을 덜 받음
- **overfitting 위험**. 자유도를 제한할 필요성
- 축애 수직하게 계단 모양의 경계로 분할되므로 **데이터 방향에 민감**
- PCA로 보완 가능
- scikit-learn.DecisionTreeClassifier는 각 node에서 …
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# User Story
As a machine learning developer, I want to deploy all predictive or classifications models on [Google's Cloud Machine Learning Engine](https://cloud.google.com/ml-engine/), so that I can…
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## Detailed Description
The current solar forecasting model is a gradient boosted tree model, which can achieve high predictive accuracy but often lacks interpretability. It is proposed to eval…
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It's not obvious what "DRF" means in the AutoML "exclude algos" section in Flow. Let's rewrite the labels as these human readable names (also move SE to the end if possible):
* Generalized Linear Mo…