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Plenty of problems confronted by practicing data scientists have a time series component. Luckily, building time series models for forecasting and description is easy in statsmodels. We’ll walk through a forecasting problem using an autoregressive model with covariates (AR-X) model in Python. Time series data is everywhere For practicing data scientists, time series data is everywhere - almost anything we care to observe can be observed over time. Some use cases that have shown up frequently in ...