Dublin Bikes station finder with real time available bike numbers. Uses ML models to predict bike availability hourly up to one week in advance. Implemented with Flask framework.
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Updated
Feb 3, 2021 - Python
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bike-availability
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An LSTM-based model to predict the availability of bike terminals around processing their historical usage data. It was implemented for my Master's thesis in MSc Computer and Systems Engineering at Tallinn University of Technology. The thesis paper itself can be found at https://digikogu.taltech.ee/en/Download/a4145a77-9ba0-4ed8-bd9c-f6ceedc4dfea
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Updated
Jan 19, 2022 - Jupyter Notebook
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