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Please
note that if you are bringing data with you we strongly
suggest that you arrange this prior to arriving for the
course by sending an e-mail to: training@corporateintellect.com.
Benefits of Attending the
Course
At the end of the course the attendees will:
• Gain a deep understanding of some of the most
commonly used data mining techniques
• Appreciate the pros and cons of using each of
the modeling techniques
• Understand the commonly used metrics for estimating
the accuracy of a model
• Hands on experience of using the modeling techniques
• Understand how to interpret the outputs from the
modelling
Course Content
• Modeling Techniques*
• Decision Tree Induction
• Feedforward Neural Networks
• Naïve Bayes
• Regression
• Nearest Neighbour
• K Means
• Association Rules
• Sequence Rule Discovery
• Knowledge Validation
• Mean Absolute Error/ Error Rate
• Sensitivity/Specificity and ROC curves
• Cross Validation
*Note that for each of the modeling
techniques, the following topics will be covered
• How does it work?
• Common parameters available and their effect on
the training of the model
• Interpretation of results
• Mean Absolute Error/ Error Rate
• Sensitivity/Specificity and ROC curves
• Cross Validation
Pre-requisites
An Introduction to Data Mining
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