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k-nearest-neighbors

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Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modif…

  • Updated Feb 1, 2018
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In this project, we implemented an activity monitoring system for the classification of user activities such as Walking, Sitting, Standing, and Laying down which were captured using a smartwatch provided to us in the course. Various phases were involved in the fulfilment of this project ranging from data collection, data preprocessing, feature e…

  • Updated Mar 26, 2018
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