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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