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finding-donors

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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.

  • Updated Jan 8, 2018
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Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause

  • Updated Jul 26, 2018
  • Jupyter Notebook
Finding-Donors-for-Charity-using-Machine-Learning

Machine Learning Nanodegree Project Udacity. 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...

  • Updated Oct 8, 2022
  • HTML

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