Weighted Ensemble simulation framework in Python
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Updated
Apr 22, 2026 - Python
Weighted Ensemble simulation framework in Python
History-augmented Markov analysis of weighted ensemble trajectories.
This project used a combination of different machine learning models and optimization techniques to create a powerful binary classification model, ranking in the top 28% of a Kaggle competition. It highlights the use of ensemble learning and hyperparameter tuning to improve model accuracy.
Kvantni haos / RMT (Random Matrix Theory) . GOE + Wigner-Dyson weighted ensemble. Spektralna statistika, level repulsion.
Predicting customer responsiveness to Starbucks app promotions using demographic, behavioral, and offer data. Includes preprocessing, offer-response labeling, EDA insights, and ML models for personalized marketing.
GEBiLSTM-Attn: Novel Deep Learning Architecture for RUL Prediction (NASA CMAPSS)
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