This is the fourth in a series of posts about using Forecasting Time Series data with Prophet. The other parts can be found here: Forecasting Time Series
In this article I look at stock market forecasting with prophet and compare a few errors measures to see how well prophet can forecast the market.
Prophet does a very good job of detecting trend changepoints. In this post, I provide an example where I look at the capabilities of Prophet.
This third installment of Forecasting time series data with prophet provides an example using holidays to try to improve the model.
An overview of using Prophet for forecasting time series data with a link to jupyter notebooks.
In this article, I provide a few tips to make a bit more realistic and useful visualizations from Facebook's Prophet for forecasting time-series library.
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