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

The video tutorial covers change point detection using Prophet, focusing on visualization and analysis. It explains how change points are automatically detected during model fitting and demonstrates how to visualize them on a plot. The tutorial compares change points across different models and discusses the role of priors in tuning change point sensitivity. It also explores the impact of data modifications on change point detection, highlighting how changes in prior settings can affect the flexibility and number of detected change points.

Describe the effect of tuning the priors on the sensitivity of change point detection.

What observation can be made about the change points when using the second data set, DFP 2?