tree-based-models

There are 0 repository under tree-based-models topic.

kyosek / CFXplorer
CFXplorer generates optimal distance counterfactual explanations for a given machine learning model.
adaboost algorithmic-recourse binary-classification counterfactual-explanations decision-tree machine-learning optimization python python3 random-forest tree-based-models
Language:Python 5
SonghuaHu-UMD / Explainable_AI_Comparison
explainable-ml interpretable-machine-learning model-comparison tree-based-models
Language:Python 5
eth-sri / drs
[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles
adversarial-machine-learning certified-robustness tree-based-models decision-stump-ensembles randomized-smoothing
Language:Terra 4
dilshvn / datacamp-machine-learning-with-tree-based-models-in-python
datacamp machine learning with tree-based models in python course content
data-science datacamp machine-learning python tree-based-models
Language:Python 1
skswar / Explainable_ML_for_Production_Downtime_Shap
👨‍💻 This repository shows how machine learning and SHAP can be leveraged to understand the reasons of production downtime ⌛
catboost explainable-ml machine-learning shap shapley-additive-explanations tree-based-models
Language:Jupyter Notebook 1
Chinmaya-3141 / Machine-Learning-with-Hyperopt-on-Emissions-Data
Project started as submission for MSE course at Praxis Business School, then further worked upon to implement machine learning models with hyperparameter tuning.
hyperparameter-optimization regression tree-based-models
Language:Jupyter Notebook 0
mn-mat-dis
romrawinjp / mn-mat-dis
Project page for "Physics-informed graph neural networks accelerating microneedle simulations towards novelty of micro-nano scale materials discovery" as a part of Romrawin Chumpu's master thesis and publication.
artificial-neural-networks deep-learning graph-neural-networks machine-learning materials-discovery materials-simulation tree-based-models
Language:JavaScript 0
hanfei1986 / Tree-based-and-neural-network-regressors
Usually tree-based and neural network regressors work better for regression tasks than linear regression models, because they can capature complex or subtle non-linear patterns in data.
deep-learning machine-learning neural-network tree-based-models
Language:Jupyter Notebook
MortenBlorstad / StableTrees
Tree-based models are appealing for price modeling due to their high performance but they can be unstable. Due to competition between insurers, unstable models increase the risk that the overall premium is too small to cover the losses. The thesis propose various strategies for improving the stability of tree-based models.
insurance machine-learning stability-analysis tree-based-models
Language:Jupyter Notebook
numanwaziri / EEG-Schizophrenia-Detection
This project uses EEG data to detect schizophrenia, achieving a robust classifier with LGBM, boasting a ROC AUC of 95.96% and an accuracy of 90%
machine-learning signal-processing tree-based-models
Language:Jupyter Notebook
RIT-MESH / Master-Data-Mining-in-Data-Science-Machine-Learning
In this course, you will get advanced knowledge on Data Mining. This course begins by providing you the complete knowledge about the introduction of Data Mining. This course is a complete package for everyone wanting to pursue a career in data mining.
data-science datamining machine-learning survival-analysis clustering-analysis association-rule-learning tree-based-models boosting-algorithm model-explanationability
Language:Jupyter Notebook

tree-based-models

kyosek / CFXplorer

SonghuaHu-UMD / Explainable_AI_Comparison

eth-sri / drs

dilshvn / datacamp-machine-learning-with-tree-based-models-in-python

skswar / Explainable_ML_for_Production_Downtime_Shap

Chinmaya-3141 / Machine-Learning-with-Hyperopt-on-Emissions-Data

romrawinjp / mn-mat-dis

hanfei1986 / Tree-based-and-neural-network-regressors

MortenBlorstad / StableTrees

numanwaziri / EEG-Schizophrenia-Detection

RIT-MESH / Master-Data-Mining-in-Data-Science-Machine-Learning