Project for Machine Learning course 2022 at University of Pisa. This is an implementation from scratch (except for numpy and pandas libraries for mathematical instruments and data loading) of a neural network and support vector regression. The quadratic optimization algorithm for the SVR is also written from scratch. Many optional additions to the NN are implemented, such as R-prop, AdaGrad, ...
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DreRnc/MLx2
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Implementation of MLP and SVR, and respective optimizers, all from scratch.
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