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 TSLA closing price based on past values using Linear and Polynomial Regression with Regularization variances. 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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The 1st project uses daily stock data from AlphaVantage API to predict the next day's TSLA closing price based on past values using Linear and Polynomial Regression with Regularization variances. 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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