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Robert E. Martin's Projects

covid-19-data icon covid-19-data

This notebook when run will generate an updated plot of daily deaths is US due to covid 19.

linalgcourse icon linalgcourse

Python and MATLAB code for online linear algebra course

mnist_classification icon mnist_classification

In this notebook we develop a least squares model that will classify handwritten digits. This is a task more suited to convolutional neural networks. In fact such networks have been shown to have a 99% accuracy rate. Our aim is to demonstrate that this classification can be accomplished using a simple least squares model. Also this exercise will afford us a better understanding of the least squares method of building models. We will demonstrate that an accuracy rate of near 90% can be achieved using this method.

sms-tools icon sms-tools

Sound analysis/synthesis tools for music applications

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