Inspiration
One another.
What it does
Analyze Uber ride time data in San Francisco and use it to predict ride time.
How I built it
Used sk-learn, Tableau, numpy, and pandas
Challenges I ran into
Limited Data provided for certain hours of the day. Limited data on rides per hour. No direct way to analyze demand. Data limited to two quarters.
Accomplishments that I'm proud of
We used a machine learning regression algorithm to predict travel times!
What I learned
What's next for TANUKI
Built With
- jupytr
- pandas
- python
- scikit-learn
- seaborn
- tableau
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