Quick and dirty look at the causes of workplace injuries. Data obtained from Kaggle.com and, while not a very comprehensive list (sample size is only 537), I'm using this as more of an experiment with Jupyter notebook and pelican.

Testing and evaluating numerous machine learning techniques to determine best option for predicting fruad occurances in Enron email dataset. The most efficient predictor ended up being an Adaboost algorithm with 50 n_estimators. This method using decision tree as a 'weak learner' came out with about 85% accuracy, p-value of 39, and an r-squared of around 32. Originally conducted for Udacity Nanodegree project.