Final assignment for Spring 2019 Neural Networks course at Leiden University. We have developed a set of algorithms that apply machine learning techniques to publicly available S&P 500 stock data (see the relevant Kaggle site https://www.kaggle.com/camnugent/sandp500 for more details). The Gaussian mixture modelling algorithm is built upon the one made available from Oleg Gnedin's Computational Astrophysics course at the University of Michigan.
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Final assignment for Spring 2019 Neural Networks course at Leiden University. We have developed a set of algorithms that apply machine learning techniques to publicly available S&P 500 stock data.
BrianTCook/NN3_autoencoder_and_clustering
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Final assignment for Spring 2019 Neural Networks course at Leiden University. We have developed a set of algorithms that apply machine learning techniques to publicly available S&P 500 stock data.
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