Systems and methods for time series modeling

The invention describes a software system for predicting future events using diverse time series data. It intelligently selects and trains multiple machine learning models, combining them into a single, robust prediction model for new data. A key aspect involves user interaction via a graphical interface to guide data preparation, such as resolving timestamp conflicts or splitting datasets.