In this webinar, participants will learn how to bring their machine learning models to life using the Plumber package in R. We’ll walk through the end-to-end process of building a time series forecasting model with Facebook Prophet, wrapping it as a REST API using Plumber, and deploying it for real-time access.
Attendees will gain hands-on knowledge of converting R functions into web endpoints, validating user inputs, generating future predictions, and exploring deployment strategies such as Docker and Posit Connect.
As a data scientist, analyst, or R enthusiast, this session will equip you with practical tools to transition from experimentation to production with confidence.

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Abuja R User Group

R User Groups

R Consortium

Business Data Laboratory

Career & Business

Statistical Computing

Data Analytics

Data Visualization

R Project for Statistical Computing

Data Science

Applied Statistics

Programming in R

R User Group

ADEJUMO RIDWAN SULEIMAN

Deploying Machine Learning Models in R with Plumber: Forecasting to Production

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Abuja R User Group

Deploying Machine Learning Models in R with Plumber: Forecasting to Production

Abuja R User Group

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