Time series classification (TSC) is a cutting edge problem in the field of machine learning. To go beyond manual feature selection, deep learning methods can be employed to analyze and classify time series data sets. The purpose of this summer research project was to develop a machine learning pipeline that can preprocess and analyze a time series data set in multiple ways.