Machine learning investigation on the likelihood of charity donations being made based on real census data. Trained and tested several supervised machine learning models on pre-processed census data to predict the likelihood of donations. The best model was selected according to on accuracy, F-scoring, and algorithm efficiency.
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Udacity Machine Learning Basic Nanodegree Program - Project 1
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