Python for Marketers: Forecasting future seasonal data

What this is for: Forecasting seasonal data Requirements: Python Anaconda distribution, Understanding of statistics and experience with machine learning Concepts covered: Calucating confidence intervals and forecasting future values with pmdarima library Download the Jupyter notebook One of the more helpful applications of data science to marketing is developing forecasts. You can use forecasts to predict […]

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