Overview
This 0A079G: Introduction to Machine Learning Models Using IBM SPSS Modeler v18.2 course provides an introduction to supervised models, unsupervised models, and association models. This is an application-oriented course and examples include predicting whether customers cancel their subscription, predicting property values, segment customers based on usage, and market basket analysis.
Skills Covered
Please refer to course overview
Who Should Attend
- Data scientists
- Business analysts
- Clients who want to learn about machine learning models
Course Curriculum
Course Modules
• Taxonomy of machine learning models
• Identify measurement levels
• Taxonomy of supervised models
• Build and apply models in IBM SPSS Modeler
• CHAID basics for categorical targets
• Include categorical and continuous predictors
• CHAID basics for continuous targets
• Treatment of missing values
• C&R Tree basics for categorical targets
• Include categorical and continuous predictors
• C&R Tree basics for continuous targets
• Treatment of missing values
• Evaluation measures for categorical targets
• Evaluation measures for continuous targets
• Linear regression basics
• Include categorical predictors
• Treatment of missing values
• Logistic regression basics
• Include categorical predictors
• Treatment of missing values
• Neural network basics
• Include categorical and continuous predictors
• Treatment of missing values
• Ensemble models basics
• Improve accuracy and generalizability by boosting and bagging
• Ensemble the best models
• K-Means basics
• Include categorical inputs in K-Means
• Treatment of missing values in K-Means
• Kohonen networks basics
• Treatment of missing values in Kohonen
• TwoStep basics
• TwoStep assumptions
• Find the best segmentation model automatically
• Anomaly detection basics
• Treatment of missing values
• Apriori basics
• Evaluation measures
• Treatment of missing values
• Sequence detection basics
• Treatment of missing values
• Examine the quality of the data
• Select important predictors
• Balance the data
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Training Options
- SPVC: Self-Paced Virtual Class
- VILT: Virtual Instructor-Led Training
- ILT: Instructor-Led Training
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Exam & Certification
This course is not associated with any Certification.
Training & Certification Guide
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