Time series forecasting Python

At its core, the Prophet procedure is an additive regression model with four main components: A piecewise linear or logistic growth curve trend. Prophet automatically detects changes in trends by selecting changepoints from the data . A yearly seasonal component modeled using Fourier series.

What is Facebook Prophet and how does it work? Facebook Prophet is an open-source algorithm for generating time-series models that uses a few old ideas with some new twists . It is particularly good at modeling time series that have multiple seasonalities and doesn’t face some of the above drawbacks of other algorithms.

Prophet always expects two columns in the input DataFrame: ds and y . The ds column represents the date from your SQL query, and needs to be either date or datetime data type. The y column represents the value we are looking to forecast, and must be of numeric data type.

Prophet is a forecasting procedure implemented in R and Python . It is fast and provides completely automated forecasts that can be tuned by hand by data scientists and analysts.