This project was to use data from various sources to create a model that can predict the usage of certain public transport methods in Singapore. As a team, we analysed and used several machine learning models, such as Linear Regression, Random Forest and K Neighbours Regressor.

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We used several features that we felt were useful in predicting public transport usage. For example, the average air temperature, average UV index level and the current cost of COE.

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This project was done in Python.