Inspiration
We wanted to study the housing situation en BCN using different factors.
What it does
Some plots describing the situation between 2015-2018 and initial regression thoughts
How we built it
Using python notebooks
Challenges we ran into
Python tools for data science learning curve and a lot of problems trying to do the preprocessing.
Accomplishments that we're proud of
We manage to learn a lot.
What we learned
We learned to use pandas, matplotlib, sklearn and other python tools for data science
What's next for Housing BCN
Prediction for future years focusing on students and other data that we could use.
Built With
- opendata
- python
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