Matt Dancho – DS4B 102-R: Shiny Dashboards

Predictive Net Purposes Productionalize Knowledge Science

An information scientist generates organizational worth by constructing internet apps that take machine studying fashions into manufacturing.

Here is an instance of a predictive internet software that you simply construct on this course.

New Product Prediction Software (created on this course)

This internet software empowers enterprise folks to make knowledge-pushed selections by extra persistently pricing merchandise. The applying incorporates:

• Shiny – An online software framework with UI elements which are reactive to person enter.
• Flexdashboard – A dashboarding framework that’s constructed on prime of RMarkdown.
• parsnip and XGBoost – Machine studying fashions used to foretell product costs.

Most significantly, enterprise folks can use the applying to enhance the consistency of latest product costs primarily based on an present product portfolio because of the facility of Machine Studying!

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Your Group Cares About Branding

So give it to them. Learn to customise the looks of your software to match your organizations branding.

Closing Mission

You’ll construct a Gross sales Dashboard that:

• Makes use of XGBoost to Predict Gross sales Demand by Prospects & Product Classes.
• Toggles between Gentle and Darkish Themes – Custom-made by You and your theme-constructing expertise!
• Controls movement utilizing Reactive Programming
• Shall be distributed through Shinyapps.io

Closing Mission

Darkish Theme

This course is designed for…

• Newbie knowledge scientists which have accomplished the DS4B 101-R course and wish to construct predictive internet functions
• Intermediate knowledge scientists accustomed to R however wish to study Shiny and Flexdashboard

You construct manufacturing-prepared functions