Inspiration
Who doesn’t want to rig the real estate market?
What it does
Using a number of features, including location and distance to job centres, our model predicts the price of houses.
How we built it
We built the model using various linear regression models from sklearn.
Challenges we ran into
We spent a lot of time trying to wrangle the data and finding a good model.
Accomplishments that we're proud of
We’re proud that we managed to relocate the data using knowledge of geography. Allowed us to use alternative datasets!
What we learned
We’ve learnt that data is not always right! Be sure to check.
What's next for h&m
More hackathons!
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