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Atilla Ozgur's Projects

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Data augmentation using synthetic data for time series classification with deep residual networks

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Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

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A Course in Machine Learning

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Course materials for Neural Networks and Deep Learning course in Hoch Schule Bremen (Applied University of Bremen)

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A Python script for "flattening" a nested LaTeX document by pulling in all the \input files

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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

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