Temporal data is being produced in ever greater quantity so it is fortunate that our ability to analyze that data with time series methods has kept pace. During this talk we look at a number of different techniques for modeling time series data. We start with traditional methods such as ARMA then go over more modern tools such as Prophet and even machine learning models like XGBoost. Along the way we look at a bit of theory and the code for training these models.

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