Scott Breitbach

Use R for analysis of crime and traffic incidents in Lincoln, NE on Cornhusker game weekends compared to non-game weekends.

Use Python for scraping tables on the web to collect data. Cleaning data and combining using SQL joins. Standardization of addresses and phone numbers, and geographic mapping of brewery locations.

Python analysis to determine whether having grandparents born outside of the US impacts the income of an individual or family.

Multiclass classification of 7 bean species based on measurements. Includes EDA, visualization, standardization, feature selection, and evaluation of several models, including hyperparameter tuning.

Use R for analysis of several predictive models of housing prices using groups of features generated previously through feature selection methods in Python.

Infographic demonstrating the safety of flight as a travel option, from the perspective of an airline customer.

Implement LSTM text generator with Tensorflow and Keras using Hitchiker's Guide to the Galaxy corpus.

Use of Machine Learning in Python for automated classification of microbes from an imbalanced dataset to aid in rapid identification of microbes.

Binary classification in Python to predict stroke in patients using Machine Learning with patient data. Includes multiple model evaluation, hyperparameter tuning, and model ensembles.

Use of Power BI for interactive dashboard showing summary of airline flights and accidents over time and by flight type, aircraft type, and location.