Short data science projects to become familiar with various tools.
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This project looks at the MiniBoone dataset which attempts to identify signals vs background in a neutrino detector experiment.
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The project uses PyTorch to build simple neural networks and build up an understanding of how these are implemented.
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Some standard visualizations are included as well.
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This project looks at data from NHL players to attempt to predict what their contract values and lengths should be.
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The project uses Keras to build simple neural networks (RNNs) and build up an understanding of those to implement them.
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The project also included some data wrangling and web scraping.