This is a capstone project for Data Science/Machine Learning
Basically I need to use 3 articles from kaggle. They are listed down below:
https://www.kaggle.com/darkknight98/flu-shot-prediction
https://www.kaggle.com/broach/california-kindergarten-immunization-rates
https://www.kaggle.com/arashnic/flu-data
You will write a paper predicting whether someone gets vaccinated or not and also determine what are the factors that are important to determine whether a person gets vaccinated
Professors notes: All three are related interesting questions. Looks like the data and code is already there on Kaggle and other places to answer these questions. What I would suggest is, title your capstone as “An Exploration of the Factors that Determine Flu Vaccine Uptake”. You can then not only predict whether someone gets vaccinated or not, but also determine what are the factors that are important to determine whether a person gets vaccinated. You can use a combination of all three datasets to the extent possible to try to answer this question. You can run a variable importance analysis and also just a simple regression analysis to see which variables are statistically significant. Since a lot of code is already out there, I would ask you to understand the code first and then modify it to your needs.
The attached document is a sample paper that should be used as a reference
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