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
machine-learning
udacity
machine-learning-algorithms
feature-selection
supervised-learning
ensemble
adaboost
grid-search
udacity-nanodegree
boosting
decision-tree-algorithm
udacity-machine-learning-nanodegree
feature-importance
model-tuning
finding-donors
gaussian-naive-bayes-implementation
precision-recall
naive-predictor
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Updated
Jul 26, 2018 - Jupyter Notebook