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Nov 3, 2022 - Python
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tree-based-models
Here are 28 public repositories matching this topic...
CFXplorer generates optimal distance counterfactual explanations for a given machine learning model.
python machine-learning random-forest optimization python3 adaboost decision-tree binary-classification counterfactual-explanations algorithmic-recourse tree-based-models
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Feb 23, 2026 - Python
[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles
adversarial-machine-learning randomized-smoothing certified-robustness tree-based-models decision-stump-ensembles
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Nov 14, 2022 - Terra
Comprehensive benchmark study of feature selection techniques for predictive machine learning models on tabular data. Various feature selection methods are evaluated across different data characteristics and predictive scenarios.
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Sep 14, 2025 - Python
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%
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Jan 14, 2024 - Jupyter Notebook
German Credit Data - 1994
classification accuracy auc recall confusion-matrix roc precision credit-risk cost-sensitive-learning tree-based-models
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May 14, 2025 - Jupyter Notebook
👨💻 This repository shows how machine learning and SHAP can be leveraged to understand the reasons of production downtime ⌛
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Jul 24, 2023 - Jupyter Notebook
Detects anomalies using the Isolation Forest algorithm, with clear visual comparison between original data and anomaly-marked data in an unsupervised learning setup.
python data-science machine-learning scikit-learn ensemble-learning outlier-detection unsupervised-learning anomaly-detection isolation-forest tree-based-models
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Feb 2, 2026 - Jupyter Notebook
For this project, we will analyze publicly available data from LendingClub.com, which connects borrowers needing money with investors. The goal is to create a model that predicts the likelihood of borrowers repaying their loans. We will focus on Lending Club's data from 2007-2010 to classify and determine the repayment behavior pre-2016.
machine-learning random-forest scikit-learn pandas supervised-learning classification data-analysis ensemble-learning financial-data decision-tree model-evaluation credit-risk loan-prediction tree-based-models
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Feb 5, 2026 - Jupyter Notebook
I and my team participated in the Amazon ML Challenge, a national-level machine learning competition where we tackled real-world data problems and built predictive models using advanced ML techniques.
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Oct 16, 2025 - Jupyter Notebook
Tabular classification project with Machine Learning models
machine-learning medicine statistical-learning eda logistic-regression mlp-classifier tree-based-models
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Dec 22, 2025 - R
Data Science portfolio
numpy scikit-learn eda pandas seaborn survival-analysis logistic-regression matplotlib categorization tree-based-models
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Mar 30, 2024 - Jupyter Notebook
Applied Machine Learning | Fall 2024
natural-language-processing neural-networks svm-model linear-models imbalanced-data tree-based-models
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Feb 8, 2025 - Jupyter Notebook
Automated reasoning 🤖 for CoT prompting 💬 using explainability attributes from tree-based 🌳 models for binary classification on tabular datasets
python sklearn gcp explainable-ai vertex-ai tree-based-models large-language-models prompt-engineering chain-of-thought together-ai anthropic-api
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Dec 17, 2025 - Python
Project started as submission for MSE course at Praxis Business School, then further worked upon to implement machine learning models with hyperparameter tuning.
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Feb 17, 2023 - Jupyter Notebook
Machine learning pipeline for multi-class treatment prediction in lung adenocarcinoma (LUAD) using patient-level molecular profiles, featuring ensemble-based model aggregation, benchmarking across diverse classifier architectures, and systematic performance evaluation.
benchmarking machine-learning bioinformatics reproducible-research scikit-learn model-selection supervised-learning hyperparameter-optimization ensemble-learning predictive-modeling linear-models probabilistic-models gradient-boosting multi-class-classification personalized-medicine mutation-data tree-based-models genomic-features clinical-ml molecular-profiling
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Jan 29, 2026 - Jupyter Notebook
Machine Learning Project at Kampus Merdeka Program
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Jan 10, 2024 - Jupyter Notebook
Orbit Boost is a research-oriented gradient boosting library built from scratch in Python, designed as an experimental alternative to LightGBM, XGBoost, and CatBoost. It introduces oblique projections, BOSS sampling, Newton-style updates, and a ridge-based warm start for improved performance.
python machine-learning research deep-learning scikit-learn xgboost lightgbm boosting-algorithms gradient-boosting boosting catboost tree-based-models
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Oct 4, 2025 - Python
This project leverages ML to classify mental health risk signals (potential signs of depression) by analyzing structured profile metadata and unstructured textual data from social platforms, with a focus on user behavior, interactions, and content.
nlp language-model gradient-boosting bert-model bertweet tree-based-models supervised-finetuning mddl-dataset
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Apr 10, 2025 - Jupyter Notebook
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.
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Sep 17, 2023 - Jupyter Notebook
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