From the course: Python for Time Series Forecasting

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Introduction to Prophet: A semi-automatic time series model

Introduction to Prophet: A semi-automatic time series model - Python Tutorial

From the course: Python for Time Series Forecasting

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Introduction to Prophet: A semi-automatic time series model

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- [Instructor] Time series forecasting with Prophet, a semi-automatic time series forecasting model that will allow you to make better predictions with minimal configuration. As you can see in the model fit, you only need to analyze the frequency of the seasonality and the modes, which you will learn during the lessons. Furthermore, you can even let the model know about the holidays with a function that they have developed in case the holidays significantly influence your time series data. After that, we will make some forecasts, as always. In this case, the object itself has a way to plot the forecast and the historical data, which we can also analyze in this custom function. Then we will learn about the configuration, which are the most decisive parts, and how to analyze these charts so that we can make a good configuration. As we are used in this course, I'll show you how to play around with different configurations so that you can plot the visualizations and observe how different…

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