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Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained & tested several supervised machine learning models on preprocessed census data to predict donation likelihood. Selected best model based on accuracy, modified F-score metric, & algo efficiency.

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machine-learning udacity-machine-learning-nanodegree udacity nanodegree finding-donors supervised-learning

finding-donors-for-charityml's Introduction

Hi there, I'm Rob

I'm a Research Masters Student at University College Dublin. I'm interested in machine learning, software development and how we can use these tools to improve our lives. Iโ€™m currently working on:

  • ๐Ÿฅฝ mixed reality
  • ๐Ÿ“น computer vision
  • โ™ฟ accessibility
  • ๐Ÿ’ป software engineering

Places to find me ๐ŸŒ

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