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The 1st project uses daily stock data from AlphaVantage API to predict the next day's closing price based on past values . The 2nd project processes Wavelet Transform features from banknotes and performs binary classification using Parzen windows, k-NN, and variations of SVMs.

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miltiadiss/CEID_NE5237-Decision-Theory

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These projects are part of Decision Theory elective course in Computer Engineering & Informatics Department of University of Patras for Winter Semester 2024-2025 (Semester 9).

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The 1st project uses daily stock data from AlphaVantage API to predict the next day's closing price based on past values . The 2nd project processes Wavelet Transform features from banknotes and performs binary classification using Parzen windows, k-NN, and variations of SVMs.

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