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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)
Summer Undergraduate Research Project @UniversityofToronto Astronomy : Removing foregrounds from the CMB (Cosmic Microwave Background) radiation maps of the universe from the PLANCK and WMAP satellite missions.
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)
This projects implements wavelet transform to determine SVPs' (Sharp Variation Points) alongside a transformed signal curve. It uses the concept of zero-crossing point.