Minitab Machine Learning Preview: A Bite-Sized Look at Predictive Analytics. Regression, Classification
Updated on Sep, 2026
Programming, Data Science, Machine Learning
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In this mini-course, "Tasting Machine Learning with Minitab Predictive Analytics", you will gain an introduction to the world of predictive analytics and machine learning using Minitab statistical software.
Through five lectures, you will learn about regression analysis and classification, two fundamental techniques in predictive modeling. In the first two lectures, you will learn how to set up and verify regression models, as well as how to identify and address potential issues with overfitting or underfitting. In Lecture 3, you will explore regression trees, which are a powerful alternative to linear regression when the relationship between variables is non-linear.
In Lecture 4, you will delve into binary logistic regression, which is a technique used for predicting binary outcomes (such as "yes" or "no" responses). You will learn how to set up and evaluate a binary logistic regression model. Finally, in Lecture 5, you will discover classification trees, which are a type of decision tree used to classify objects or cases into different categories. You will learn how to build and interpret classification trees, and use them for prediction.
Check out the detailed breakdown of what’s inside the course
Engineer and mathematician teaching different subjects of Engineering and Mathematics for more than 20 years at a University in Hungary. Beside teaching he is intensively involved in industrial projects as a consultant or as a structural designer. His special fields are Machine Learning in Education, Quality Statistics, Statistical Process Control, Multivariate Statistical Analysis and Stochastic Processes. He was elected to the President of the Chamber of Engineers in Fejér county and holds several awards. He served as the rector of the College of Dunaújvaros for 8 years.
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