Predicting the 2021 NHL season with the use of data from the NHL API, and an extremely randomized trees model.
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Jan 30, 2024 - Python
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extremely-randomized-trees
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Extremely Randomized Trees with Privacy Preservation for Distributed Data (k-PPD-ERT)
machine-learning distributed-learning privacy-preserving-machine-learning secure-multiparty-computation extremely-randomized-trees
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Nov 13, 2024 - Python
Applies Machine Learning approach to predict spam.
random-forest naive-bayes-classifier decision-trees support-vector-machines spam-filtering cnn-model gradient-boosting extreme-gradient-boosting bert-model adaptive-boosting-algorithm extremely-randomized-trees voting-ensemble ltsm-model
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Dec 2, 2024 - Jupyter Notebook
Application of unsupervised learning and dimensionality reduction towards multiple problem sets.
machine-learning-algorithms expectation-maximization logistic-regression random-projections principal-component-analysis kmeans-clustering independent-component-analysis extremely-randomized-trees
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Dec 9, 2023 - Python
FIIT Knowledge Discovery Project
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Sep 30, 2022 - Jupyter Notebook
Engineering-to-Research Monograph Series (Zenodo community). Companion code (Python) MIT, github.com/AlanP13. Grounded in author coursework (UC ITS-836, MSDS-532); written from scratch for publication.
big-data spark tabular-data mapreduce feature-engineering demand-forecasting gradient-boosting financial-operations enterprise-analytics extremely-randomized-trees tree-ensembles
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Jun 25, 2026 - Python
Investigations into the credit default dataset
neural-network random-forest pytorch ensemble-learning decision-trees financial-analysis gradient-boosting adaptive-boosting-algorithm sckit-learn extremely-randomized-trees credit-default
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Jul 3, 2023 - Jupyter Notebook
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