Introduction to Machine Learning Models Using IBM SPSS Modeler - 0A079G

Course Description

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.

Curriculum for this course

0 Lessons
Introduction to machine learning concepts and IBM SPSS Modeler interface.
0 Lessons
Data preparation: importing, exploring, and cleaning data
0 Lessons
Building classification models and understanding their applications
0 Lessons
Developing regression models for predictive analysis
0 Lessons
Clustering techniques for data segmentation
0 Lessons
Model evaluation methods and performance metrics.
0 Lessons
Best practices for deploying machine learning models in business scenarios.
0 Lessons

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Course rating

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Reviews

  • Ruma Sriwastav

    Cover all my needs

    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.

Skills Offered

Emerging Skills Offered by Alchemy for 2024-2025

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