Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Code Preparation

The video tutorial provides an overview of the Facebook Profit library, highlighting its ease of use and the simplicity of creating models with minimal code. It covers model customization options, data preparation, and fitting processes. The tutorial explains how to make predictions, plot results, and perform cross-validation. It also discusses change point detection and how to evaluate model performance using various metrics.

Explain how cross-validation is performed in Profit.

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What is the significance of the cutoff date in the context of Profit's predictions?

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What metrics can be computed after performing cross-validation in Profit?

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How does Profit determine change points when fitting the model?

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