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Please see README-Project_Report.pdf for details about this project.

Analysing the impact of weather on self-reported happiness across the UK.
University of Edinburgh, School of Informatics

• Used MongoDB to aggregate weather data and happiness-survey data in order to analyze correlations between different weather attributes and reported happiness levels across the UK.

• Performed clustering on weather data using KMeans to group weather stations with similar weather patterns, making use of Python’s Scikit-learn library. Trained and evaluated a Gaussian Naïve Baye’s classifier to predict the general location of a weather station based on the weather data recorded at the station.

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Practical Introduction to Data Science course project

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