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University project for "optimization techniques for machine learning" exam. Performance comparison between algorithms: SGD, SGD Momentum and SAG.

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Project Work Optimization Techniques for Machine Learning

University project, implementation in Python of three optimization algorithms: SGD, SGD-M, and SAG. Comparison and analysis of the results in terms of Accuracy, execution time, and convergence rate.

All dataset used are available here : https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html

A project report in Italian is available here: https://www.overleaf.com/read/qcwpphbxwptp#7ed7bc

Results:

Dataset: German-Numer

Dataset: Australian

Dataset: a5a

Dataset: a6a

Dataset: a7a

Dataset: a8a

Dataset: ijcnn1

Dataset: phishing

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University project for "optimization techniques for machine learning" exam. Performance comparison between algorithms: SGD, SGD Momentum and SAG.

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