rameerez/bicimad-data-analysis
🚲 BiciMAD - Data analysis + ML usage predictions of Madrid's public bike system data
Leverages Jupyter notebooks with pandas/numpy to perform exploratory data analysis on trip records and station metrics, uncovering operational issues like equipment failures and demand imbalances across the bike-share network. Implements predictive modeling to forecast usage peaks based on temporal patterns and external factors like weather and local events. Integrates with EMT Madrid's OpenData API and uses Bokeh for interactive geospatial visualizations of ride distribution and station heatmaps.
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Stars
15
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 05, 2018
Commits (30d)
0
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