Forecasting - Getting started with the Prophet package

Prophet (https://facebook.github.io/prophet/) is a procedure for forecasting time series data published by Facebook in 2017. We will cover the installation and setup of the package, and how its basic usage. Prophet follows the sklearn model API, which means we'll use fit and predict methods. Besides that, the package also allows for the integration of domain knowledge by having human-interpretable parameters.
We'll work with a hands-on example to get a feel of how missing data and outliers are easily handled, and what it's like to tweak and adjust forecasts.
No prior experience is needed.

#Dânia Meira: Originally from Brazil, Dânia is a data scientist with a focus on ML for predictive analytics. She is a founding member of the AI Guild, where she is working towards the advancement of AI adoption by supporting data careers and the deployment of data analytics and ML solutions. Before that, she was a volunteer at DSSG Berlin and a teacher at a Data Science Bootcamp in Berlin.
You can find her on Linkedin (https://www.linkedin.com/in/daniameira/) and at the online events she's been organizing for the AI Guild.

# Lidia Yalew: In 2020 Lidia graduated in Business Information Systems at the Berlin School of Economics and Law, where she chose several courses about Big Data and Data Mining. In her bachelor thesis, she concentrated on Time Series Prediction with a great focus on Prophet. After her graduation, she has taken up the job as a Junior Data Scientist at myToys.de GmbH.
You can find her on Linkedin (https://www.linkedin.com/in/lidia-yalew-78a20017b) and at AI Guild online events.

Audience level:
Beginners level

Schedule:
18:00 Channel opening
18:05 Pyladies and announcements
18:15 Workshop
20:00 Q&A and networking

Requirements:

• please find all instructions and files for the workshop under: https://github.com/meiradania/forecast-with-prophet-intro

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