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Location information about commuter activities is vital for planning for travel disruptions and infrastructural development. The Mobility Sensing Project aims to find innovative and novel ways to identify travel patterns from GPS data and other multi-sensory data collected in smartphones. This will be transformative to provide personalised travel information.

License: MIT License

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adasyn aws boto3 classification datascience-machinelearning hyperopt lightgbm-models naive-bayes-classifier python3 randomforest-classification s3-bucket sklearn smote

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