Predictive Analytics and Machine Learning Module 6: Shiny and Machine Learning in Production (Synchronous e-Learning)

Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2022012188
S$480
Original: S$1,600
Save S$1,120

About This Course

At the end of the 2-day module, participants will be able to:
• Understand the workflows within Shiny, plumber, and pins.
• Open and maintain GitHub.
• Use R markdown to create a webpage.
• Produce an Application Programming Interface (API) that serves a Shiny app that displays the results of machine learning algorithms and models.

What You'll Learn

The results of predictive analytics and machine learning go beyond mere reporting and into “deployment.” The module guides participants to store and deploy models and algorithms, using an interactive dashboard, web application programming interface (API), and Github. They will be introduced to packages of Shiny, plumber, and pins, to equip them with cutting-edge productivity tools in the R data science ecosystem. Beyond the R Markdown documents, participants will be shown how to put their machine learning algorithms and predictive models into production (e.g., running an interactive dashboard that deploys the results of their models and algorithms on the web).

Entry Requirements

Participants with at least a diploma qualification and completed Certified Data Analytics (R) Specialist or equivalent

Course Details

Duration 15 hours
Language English
Training Commitment Not specified
Total Enrolled 58 students
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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