Inspiration

The motivation for this question comes from the rich amount of features of the property that are listed for each hosts house as well as the fact that the other datasets looked a bit bland.

What it does

It attempts to find a correlation between the features of homes listed in AirBnB and the real estate value of the property in the Seattle Metropolitan Area

How we built it

With love and with scikit learn, pandas, numpy, Matplotlib and love

Challenges we ran into

Finding appropriate datasets and tweaking the features to improve the score of the models

Accomplishments that we're proud of

Creating meaningful visuals. For example the score of a model over a range of its tunning parameter.

What we learned

How to use Matplotlib, Jupyter and more intuition in the preprocessing of data

Datasets

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