alex23lemm / zementisTutorials

Data Science and Zementis tutorials based on R, Zementis, and PMML

zementisTutorials

Overview

zementisTutorials offers several tutorials around data science, Zementis, and PMML.

Installation

You can install zementisTutorials from github with:

# install.packages("devtools")
devtools::install_github("alex23lemm/zementisTutorials")

Usage

The following courses are currently offered via zementisTutorials and can be executed using the learnr package:

De-mystifying Data Science

The course introduces the data science process and common analytics terminology hands-on using R. Students will solve a real-world data science problem on their own. The course is completely self-contained and no prior analytics or R knowledge is required.

learnr::run_tutorial("data_science_introduction", package = "zementisTutorials")

Zementis Introduction

Basic introduction to Zementis Server from an end-user perspective. Students will learn how to deploy a ML model to Zementis Server and how to score new data using file uploads, the embedded REST client, an external REST client, and the Zementis Excel Add-In.

 learnr::run_tutorial("zementis_introduction", package = "zementisTutorials")