Methods of Decision Trees (TRM)

Summary
This training gives a deep insight into the methodology of decision trees. Decision trees are robust, fast and easy to understand and hence popular tools to explore and predict data.


Agenda

  • Fundamentals of decision trees: Splitting, Pruning, Analysis
  • CART
  • CHAID
  • Random forest
  • Boosted trees
  • Overview of additional methods: ID3, FACT, QUEST


Type
Our methodological trainings are software-independent and designed to be cross-industry. We value a lively and inspiring atmosphere, hence we present examples from various real-life applications, these might include examples involving software products.
We encourage discussions and value contributions by the participants. Our trainers will consider all participants question and answer them as they see fit during the training.
The particpants receive all the training slides (as PDF) after the training.


Wordcloud
Bagging, Boosted Trees, Boosting, C&RT, CART, CHAID, Entropy, Exploration, Missing Data, MD Imputation, GINI, Information Gain, Prediction, Random Forest, Stochastic Gradient Boosting, Splitting, Variable Importance, ID3, FACT, QUEST


Requirements
This training requires a basic knowledge of data mining.


Duration: 1 Day(s) Price: EUR 800 (plus VAT) per participant


Location
Hamburg: With our training facilities in Hamburg we provide a place to learn successfully in a comfortable environment. Each participant has access to a training PC there.
Online: These trainings offer high flexibility and require no traveling. Each particpant works on his own PC. We recommend the use of two monitors.
At your site: We conduct the trainings at your site for you and your colleagues.
We offer all our trainings in the languages English and German.


Please contact us!
Do you have and questions regarding the topics, the conditions or do you need a individually tailored training? Please contact us and talk directly with the involved trainers. We can surely help you!
 

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