The Fashion MNIST Dataset contains 70,000 grayscale samples of different clothing articles. With an External GPU Unit, I wanted to create a neural network & a convolutional neural network in Python to see if I can classify the different clothing sets. Using Neural Layers with a Sigmoid Activation Function, I got a 0.323 Loss &

With NYC Subway Data from 2009-2011, I analyzed each subway line to derive conclusions regarding on-time performance & reliability. I parsed several CSV files and by using Numpy & Sklearn, generated data which I plotted using Bokeh, an interactive visualization tool for plots. While doing this project, I chose to stick to standard Python

With all of the mass shootings in the news, we’re hearing a lot of talk whether gun laws actually help. In this side/beta project, I wanted to investigate if there are any correlations between types of gun laws and their effects on shooting on a state-by-state basis. The tl;dr conclusions from this project are: