Machine learning is fun and there was a lot of fun data to play with

What it does

Predicts life insurance quotes using some simple information about you

How we built it

The front end is simply built with html, CSS and Javascript. The backend is based in Python and built with Flask. Sklearn is used for the majority of the machine learning.

Challenges we ran into

Reading the data at first was a little challenging because the formatting of the index variable was a little strange.

Accomplishments that we're proud of

Some of are predictions are pretty accurate, and we found lots of interesting trends that could be exploited.

What we learned

Data formatting, linear regression, and other similar ML techniques in sklearn.

What's next for Intellisurance Quoting

Predicting what plan customers will buy and optimizing profit with those predictions.e

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