Income inequality is a growing problem that affects the majority of the people in the United States. This model helps determine the top factors of income inequality in the United States.
What it does
It helps determine top attributes for classifying whether someone makes over or under 50k
How we built it
Using Rstudio and Machine learning able to construct a model from a dataset
Challenges we ran into
Not sufficient computer memory to use all the data
Accomplishments that we're proud of
applied machine learning algorithm
What we learned
we learned that inequality is a multi-variable problem and requires more than 1 solution
What's next for Income Inequality
Making a more accurate model that would represent the entirety of datasets and including more countries
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