Python Data: Forecasting Time Series data with Prophet – Jupyter Notebook

In previous posts, I described how I use Prophet to forecast time series data. There were some questions in the comments about the code not working, so I wanted to publish a new post with a link to a Jupyter Notebook that will hopefully provide a full, correct working example.

The original posts are:

The Jupyter notebook can be found here:

Eric D. Brown , D.Sc. has a doctorate in Information Systems with a specialization in Data Sciences, Decision Support and Knowledge Management. He writes about utilizing python for data analytics at pythondata.com and the crossroads of technology and strategy at ericbrown.com

Also found at : Python Data: Forecasting Time Series data with Prophet – Jupyter Notebook

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Dustin Gurley is an Designer, Developer, Artist, Instructor, Critical Theorist and Systems Engineer. He has an extensive background working professionally with 2D/2.5D/3D Motion Graphics, Compositing, Film, Video, Photography and client-side performance techniques as it pertains to web development. Dustin recently completed work on his Master of Fine Art degree in Motion Media Design (Motion Graphics) from the Savannah College of Art and Design. Prior to beginning his graduate work, Dustin obtained a Bachelor of Art degree in Communication Studies with a concentration in Broadcast and Emerging Media from the University of North Carolina at Wilmington. In addition to design and modeling, Dustin enjoys toying with his view camera, working with scratch film, authoring media related material and contributing to various industry conferences. When not in front of a computer, Dustin can be found with his wife, Regina Everett Gurley. The couple enjoys dividing their time between their home just outside of Raleigh, North Carolina and the beautiful North Carolina coast. Currently, Dustin serves as the Lead Instructor of Internet Technologies for Wake Technical Community College in Raleigh, North Carolina.