R - Datamining
Order by request
Ab einer bestimmten Bestellmenge stellen wir Ihnen ein individuelles Angebot zusammen.
Dieser Artikel wird Ihrem Warenkorb beigelegt, wird jedoch nicht in der Berechnung berücksichtigt
There are lots of tools that do Data Mining. But few of them can compete with R in terms of flexibility. This 3-day training gives you all you need for your first Data-Mining-Project with R.
Beginning with basic Data-Mining-workflows in R, you will get an good overview of the most important packages and tools for R. Multiple interactive exercises and real-world demonstrations will help you to internalize the basic steps of Data Mining: data exploration and management.
The second part of the training focuses on the most important methods for the analysis of Big Data. This includes clustering methods (K-Means, Hierarchical Clustering) and prediction models (Decision Trees, Neural Networks, Random Forests). You will learn how to apply, interpet and use these models using efficient R-implementations.
- Data Mining Workflow (SEMMA)
- Explorative Data Analysis and Data Management for Big Data in R
- Unsupervised Learning: Clustering
- Supervised Learning: Prediction Models
- Decision and Regression Trees
- Artifical Neural Networks
- The concept of Ensemble Models and Random Forests
Students should have a basic idea of how to work with R. This would be covered in our training Explorative Data Analysis with R.