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Looking at distributions of the diabetes response
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Different Visualization on a country scale
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Using alchohol responses as possible features in a prediction
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Using Ngrams for NLP
Utilizing Multivariate Regression to Investigate Diabetes in the US
Following a large dive into a multi-year dataset on chronic illnesses, we are able to find which features can be drawn possibly linked to diabetes and other chronic illnesses, the magnitude of their influence, direction, and whether or not they match our expectations. We end up with a refined datapipeline that can be used for further analysis with other datasets and investigative analyses along with insights extracted from a well-respected and robust dataset from the US Centers for Disease Control and Prevention.
Built With
- jupyter
- python
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