Inspiration
E-cigarettes have gotten incredibly popular amongst the youth and middle-aged people; we wanted to investigate if we could predict prevalence for diseases such as heart attacks, stroke, heart disease and cancer.
What it does
Logistic regression models built in R that tested for covariates including cigarette and e-cigarette usage
How we built it
R - cleaning and creating models
Challenges we ran into
Cleaning CDC data and finding relevant covariates and enough data points with relevant entries
Accomplishments that we're proud of
Finishing the datathon and creating decent models
What's next for Are E-Cigarettes Safer?
A further analysis of supervised learning methods with greater amounts of relevant data
Built With
- r
- rmd
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