Discovering Risk Factors through Machine Learning

Using Machine Learning and Web Development, we are using the house data from Fannie Mae to uncover risk factors

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We were passionate about working with housing data, and we were excited to know that Fannie Mae had housing data for us to implement in our project.

Our code determines the probability that a borrower will not pay a payment on time given certain factors, such as their loan amount and time.

We built this program by implementing Machine Learning using Python and also created the Web App through the use of Flask, JavaScript, and HTML

Compatability between JS, Python, and HTML. Also, data manipulation was difficult due to the size of the data

Implementing machine learning after knowing very little Python

Python syntax in greater detail as well as implementing a web app through various different applications

Making this project global, and scaling a small project we made for HooHacks to a real-time application

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