Overview
This course introduces participants to machine learning models using IBM SPSS Modeler. It covers the basics of data preparation, model building, and evaluation, providing hands-on experience with various machine learning techniques.
What will you learn?
Fundamentals of machine learning and its applications.
Data preparation techniques for modeling.
Building and evaluating different types of machine learning models.
Interpreting model outputs and making informed decisions.
Who is this course for?
Data analysts and scientists.
Business professionals interested in predictive analytics.
Individuals seeking to understand machine learning concepts using IBM SPSS Modeler.
Prerequisites
Basic understanding of data analysis concepts.
Familiarity with IBM SPSS Modeler is beneficial but not required.
For more information about our courses, get in touch
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The course identify things we want to change and then figure out the things that need to be done to create the desired outcome. The course helped me in clearly define problems and generate a wider variety of quality solutions. Support more structures analysis of options.