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banknote-forgery

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BeataWereszczynska / SML_forged_banknotes

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Comparison of numerous supervised machine learning classifier models (Logistic Regression, K-Nearest Neighbors, Support Vector Machines and Decision Trees) predicting if a banknote is genuine or not based on the dataset from OpenML containing wavelet analysis results for genuine and forged banknotes. (Python 3)

python classifier jupyter-notebook python3 classification logistic-regression python-3 decision-trees support-vector-machines k-nearest-neighbours wavelets supervised-machine-learning wavelet-analysis classification-model k-nearest-neighbors banknotes-classification banknote-authentication banknote-forgery banknotes-authenticity
  • Updated Apr 21, 2023
  • Jupyter Notebook

BeataWereszczynska / UML_forged_banknotes

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UML dimensionality reduction and clustering models for predicting if a banknote is genuine or not based on the dataset from OpenML containing wavelet analysis results for genuine and forged banknotes - practical exercise. (Python 3)

python clustering jupyter-notebook python3 dimensionality-reduction k-means unsupervised-learning tsne dbscan dimension-reduction wavelets dbscan-clustering unsupervised-machine-learning wavelet-analysis k-means-clustering agglomerative-clustering kernel-pca banknote-authentication banknote-forgery banknotes-authenticity
  • Updated Apr 22, 2023
  • Jupyter Notebook

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