Recursive partitioning (tree models) of psychometric networks
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Sep 5, 2022 - R
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tree-models
Here are 19 public repositories matching this topic...
Introduction to tree models with Python
python machine-learning beta prediction english lesson decision-trees trees decision-tree ensemble-model boosting bagging tree-models boostrapping
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May 5, 2025 - Python
Comparing sampling techniques and classification algorithms to predict credit risk
machine-learning numpy pandas python3 logistic-regression oversampling sampling-methods undersampling random-forest-classifier tree-models creditrisk-analysis sci-kit-learn
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Aug 15, 2023 - Jupyter Notebook
Borsa istanbul şirketleri hakkında trend ve fiyat tahmin çalışması
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Jun 2, 2026 - Python
Monthly flight delay forecasting using EDA, statistical analysis, feature engineering and regression modelling.
machine-learning analysis regression eda feature-selection statistical-analysis feature-engineering regression-models tree-models
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Feb 5, 2026 - Jupyter Notebook
Algorithm wise projects
natural-language-processing reinforcement-learning deep-learning clustering naive-bayes linear-regression logistic-regression support-vector-machines principal-component-analysis boosting advanced-regression tree-models
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Mar 18, 2021 - Jupyter Notebook
Assignments from NIS-08-04 :: Machine Learning University Course, covering Linear Models, Tree Models, and Ensemble Methods.
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Mar 10, 2023 - Jupyter Notebook
This people analytics project analyzes factors influencing employee turnover and predicts whether an employee is likely to leave. It aims to uncover patterns behind departures, helping Salifort improve retention, workplace culture, and professional growth strategies.
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Dec 8, 2024 - Jupyter Notebook
A case study to identify the major factors which indicate that a customer is about to leave a mobile network. Subsequently, a model is built to predict churn customers in the future.
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Apr 3, 2022 - Jupyter Notebook
Overview of different machine learning algorithms, both supervised and unsupervised. Includes exploratory data analysis and performance evaluation of the models.
data-science machine-learning text-classification linear-regression pca logistic-regression knn dbscan svm-classifier color-quantization k-means-clustering tree-models
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Jun 10, 2022 - Jupyter Notebook
Package confeito provides fast ensemble tree inference
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Jan 26, 2018 - Go
Machine Learning Class at Harding Univeristy
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Jul 30, 2023 - HTML
Machine learning models including decision trees, random forests, adaboost, gradient boosting, and neural networks applied to structured data for classification tasks.
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May 6, 2025 - Jupyter Notebook
Exact Integrated Gradients for tree ensembles, including XGBoost, LightGBM, Random Forests, and Gradient Boosting. Computes fast, exact feature attributions for tree models without Monte Carlo sampling or path approximations.
machine-learning scikit-learn xgboost lightgbm regression-models multiclass-classification interpretability feature-importance tree-models explainable-ai xai classification-models integrated-gradients feature-attribution
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May 30, 2026 - Python
Feature attribution for realized model fit (rather than predictions). EDEF provides exact additive decomposition of predictive performance for linear, PyTorch, and tree-based models, including standard errors, grouped inference, and exact TreeIG decompositions for tree-based models.
machine-learning random-forest scikit-learn pytorch regression-models multiclass-classification interpretability feature-importance light-gbm tree-models explainable-ai xai classification-models integrated-gradients feature-attribution xbgoost
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Jun 1, 2026 - Python
Attempt at Training Tree models using Genetic Algorithms to generate AutoTrading Rules
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Jul 31, 2024 - Python
RR-TreeLM v4 experiments for PPM-first tree language modeling
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Mar 3, 2026 - Python
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Feb 18, 2024 - Jupyter Notebook
Rocket Failure Analysis - Python classification and SHAP for interpretability - Rocket Launch Industry dataset
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Jun 2, 2026 - Jupyter Notebook
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