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multiclass-classification

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LudgerHentschel / treeig

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Exact Integrated Gradients for tree ensembles, including XGBoost, LightGBM, Random Forests, and Gradient Boosting. Computes fast, exact feature attributions for tree models without numerical gradients, numerical integration, 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
  • Updated Aug 24, 2026
  • Python

shenal00 / network-intrusion-detection-ml

Star 2

🚀 Detect network intrusions with this ML-based system using the NSL-KDD dataset. Features include model training, API deployment, and an interactive dashboard.

machine-learning deep-learning jupyter-notebook ids intrusion-detection brute-force gans l2-regularization network-intrusion-detection multiclass-classification feature-importance l1-regularization thesis-project lgbm pearson-correlation-coefficient extrat-tree-classifier cicids2017 cse-cic-ids-2018
  • Updated Aug 23, 2026
  • Jupyter Notebook

eduardocholuck / cloud_types_classification

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Final project for the Machine Learning course (PPGEEC2318), focused on exploring different CNN architectures for classifying cloud types from ground-level images. Includes dataset preparation, model design variations, training, evaluation via confusion matrices and accuracy metrics, and analysis of learned filters and activations.

machine-learning cnn climate-data clouds multiclass-classification
  • Updated Aug 21, 2026
  • Jupyter Notebook

EngrEeshaKhan / Child-Mind-Institute-Problematic-Internet-Use

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The goal of this project is to develop a predictive model that analyzes children's physical activity and fitness data to identify early signs of problematic internet use. Identifying these patterns can help trigger interventions to encourage healthier digital habits.

health activity-monitoring mental-health multiclass-classification physical-activity sleep-analysis screen-time internet-addiction behavioral-health problematic-internet-use psychological-wellbeing tim-series-analysis cohen-kappa-score internet-usage-patterns digital-behavior actigraphy-data
  • Updated Aug 19, 2026
  • Python

MederbekTuratbekov / ml_AG_NewsClassificationDataset

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PyTorch LSTM classifier for AG News (4 topics, 120K train / 7.6K test articles), served via FastAPI. 90.78% test accuracy after 25 epochs. Notes what wasn't measured (train accuracy, per-class F1) instead of implying a fully validated result.

python nlp natural-language-processing deep-learning neural-network text-classification rest-api lstm multiclass-classification model-training news-classification torchtext pythorch fastapi ag-news
  • Updated Aug 12, 2026
  • Jupyter Notebook

Behzad-USC / human-activity-recognition-time-series

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Human activity recognition from multivariate sensor time series using feature extraction, logistic regression, regularization, and Naive Bayes.

python data-science machine-learning time-series naive-bayes scikit-learn cross-validation feature-selection feature-extraction naive-bayes-classifier classification logistic-regression regularization human-activity-recognition time-series-analysis multiclass-classification
  • Updated Aug 9, 2026
  • Jupyter Notebook

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