Inspiration
Data Jam 2026
What it does
Based off various datasets, predicts the best way to for the DDD to spend $10 million dollars in BC short-term rental property.
How we built it
It is fully built with python.
Challenges we ran into
Lack of data for certain things for example: seasonal rent averages.
Accomplishments that we're proud of
A good pitch.
Reasonable estimates.
Data Cleaning.
Data Math.
What we learned
- Data cleaning skills
- Implementing statistical math in python
- How to deal with massive datasets.
What's next for Data Wizards
DJ27
