INTRODUCTION
IBM SPSS modeler is a statistical platform with versatility when it comes to data analytics. It comes with a wide range of uses such as automatic data preparation ,visual analysis streams, text analytics, a variety of algorithmic methods and many more.
This 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. It also contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.
Duration
5 days
Who Should Attend
Course Objectives
By the end of the training, participants should be able to;
Course Outline
Module 1
Introduction to machine learning models
• Taxonomy of machine learning models
• Identify measurement levels
• Taxonomy of supervised models
• Build and apply models in IBM SPSS Modeler
Module 2
Supervised models: Decision trees - CHAID
• CHAID basics for categorical targets
• Include categorical and continuous predictors
• CHAID basics for continuous targets
• Treatment of missing values
Module 3
Supervised models: Decision trees - C&R Tree
• 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 supervised models
• Evaluation measures for categorical targets
• Evaluation measures for continuous targets
Module 4
Supervised models: Statistical models for continuous targets - Linear regression
• Linear regression basics
• Include categorical predictors
• Treatment of missing values
Supervised models: Statistical models for categorical targets - Logistic regression
• Logistic regression basics
• Include categorical predictors
• Treatment of missing values
Association models: Sequence detection
• Sequence detection basics
• Treatment of missing values
Module 5
Supervised models: Black box models - Neural networks
• Neural network basics
• Include categorical and continuous predictors
• Treatment of missing values
Supervised models: Black box models - Ensemble models
• Ensemble models basics
• Improve accuracy and generalizability by boosting and bagging
• Ensemble the best models
Module 6
Unsupervised models: K-Means and Kohonen
• 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
Unsupervised models: Two-Step and Anomaly detection
• Two-Step basics
• Two-Step assumptions
• Find the best segmentation model automatically
• Anomaly detection basics
• Treatment of missing values
Module 7
Association models: Apriori
• Apriori basics
• Evaluation measures
• Treatment of missing values
Preparing data for modeling
• Examine the quality of the data
• Select important predictors
• Balance the data
We are proud to offer this course in a variety of training formats to suit your needs.
Our courses are carefully curated to keep you abreast of latest industry trends, technological advancements, and best practices. We employ a variety of teaching methodologies, including hands-on workshops, case studies, and interactive sessions, all aimed at fostering an engaging and effective learning environment. Our expert instructors bring a wealth of knowledge and real-world experience, providing our clients with insights that can be immediately applied in their professional lives.
Our courses serve as a vibrant platform for professionals to connect and engage with a diverse community of peers, industry leaders, and experts. By participating in our programs, you gain access to an invaluable network that spans across various sectors and geographical boundaries. This networking aspect is not just about forming professional relationships; it's about creating a supportive ecosystem where ideas, opportunities, and collaborations can flourish.
Our courses are designed to challenge and inspire professionals to step out of their comfort zones and explore new horizons. Through a combination of theoretical knowledge and practical application, our programs help professionals refine their existing skills and acquire new ones, making them more versatile and competitive.