• Constructed Support Vector, Naïve Bayes and Decision Tree classifiers to identify likely charity donors from census data in Python. • Optimized the decision tree classifier to obtain an accuracy of 84% using only 5 features.
• Constructed Support Vector, Naïve Bayes and Decision Tree classifiers to identify likely charity donors from census data in Python. • Optimized the decision tree classifier to obtain an accuracy of 84% using only 5 features.