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

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zementisTutorials

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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")

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

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