Forecasting time series applications naturally arise in many business and environmental settings. Understand your time series data. (Are there outliers, missing data, holidays, or seasonal patterns?) Machine learning methods (random forests, neural nets, etc.) can be applied to time series, however, they may be difficult to explain to stakeholders.