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Decision Tree Modelling is a type of supervised learning algorithm and a popular Analytic technique. It can be implemented in various business fields like automobile, telecom or money lending business. The Decision Tree Modeling Using R Certification training course provides an overview of the decision tree and algorithm behind decision tree, i.e. how does decision tree software work. The course equips the delegates with the necessary skills required to become a Predictive analytics expert. The delegates will gain a crystal clear understanding of Decision Tree model, benefits of learning the technique, how to apply the decision tree techniques and perform the validation.
The delegates will also be introduced to the advanced concepts like CHAID, CART, Regression Tree, Pruning and data designing through the training program. The two day course covers the benefits of modeling, predictive analytics, objective segmentation and how to interpret and implement the Decision tree model. During the Decision Tree course, the delegates will learn about decision tree, the various algorithm behind decision tree, how to interpret the decision tree output of R, what benefit it brings and steps involved in developing decision tree in R.
The delegates must have basic knowledge of R programming language before attending the course. The course throws light on R programming syntax required for the development of Decision Tree model.
The module explains Decision Tree, its benefits and core objectives of Decision Tree modelling. The delegates will learn about the gains from the Decision Tree and how it can be applied in business scenarios.
The module describes the data design for modelling.
In this module, the delegates will learn about data sanity check and how to perform the necessary checks before modelling.
The module explains how to develop the decision tree using R and the Algorithm.
The module describes the development and validation of Classification trees.
In this module, the delegates will learn about the Advance stopping criteria of a decision tree.
The module explains Chi square and CHAID and difference between CHAID and CART etc.
In this module, the delegates will learn about Random Forest, ID3 and Entropy.
Course Title
Decision Tree Modeling Using R Certification Training
Duration
2 Days
Price Starting From
£1,995.00 + VAT
Apart from these, the course will also be useful for people working in these areas:
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