Back to Predictive Modeling and Machine Learning with MATLAB
Learner Reviews & Feedback for Predictive Modeling and Machine Learning with MATLAB by MathWorks
113 ratings
About the Course
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do.
These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed courses 1 through 2 of this specialization.
By the end of this course, you will use MATLAB to identify the best machine learning model for obtaining answers from your data. You will prepare your data, train a predictive model, evaluate and improve your model, and understand how to get the most out of your models.
Top reviews
FE
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Fantastic course to learn more about MATLABs ML capabilities
YX
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Very interesting course and it is very practical! It is a great course to learn how to use machine learning as a tool to solve problems!
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26 - 28 of 28 Reviews for Predictive Modeling and Machine Learning with MATLAB
By Jan-Hein Z
•Sep 9, 2020
A good course , you learn the workflow and principles of regression and classifications .
And gain knowledge of the fashionable words like "lasso regression" . "k fold validations" and KNN classification or regression . And always the bias :)
By Aaron C
•Apr 6, 2021
Very good course, but very fast paced.
By Ken-Lee S
•Jan 4, 2024
some of the provided material does not work