[ CourseWikia ] DS4B 102-R - Shiny Dashboards

[ CourseWikia.com ] DS4B 102-R: Shiny Dashboards

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MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 238 Lessons (15h 38m) | Size: 3.66 GB
Build a predictive web application using Shiny, Flexdashboard, and XGBoost
Build Web Apps with Machine Learning
The web application you learn how to build uses data science to predict new product prices!
A data scientist generates organizational value by building web apps that take machine learning models into production.
Here's an example of a predictive web application that you build in this course.

This web application empowers business people to make data-driven decisions by more consistently pricing products. The application incorporates:

Shiny - A web application framework with UI components that are reactive to user input.
Flexdashboard - A dashboarding framework that is built on top of RMarkdown.
parsnip and XGBoost - Machine learning models used to predict product prices.
Most importantly, business people can use the application to improve the consistency of new product prices based on an existing product portfolio thanks to the power of Machine Learning!

You will build a Sales Dashboard that:

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)

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