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Learner Reviews & Feedback for Predictive Modeling and Machine Learning with MATLAB by MathWorks

4.8
stars
116 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

SV

Jan 5, 2022

Thanks to Mathworks team for such a well structured course with quality content and lectures. Looking forward to more such quality content such as deep learning and reinforced learning

SS

Sep 13, 2020

Extremely helpful and interesting course.

The basic concepts and further learnings are well addressed by the instructors.

Highly recommended course for Machine Learning.

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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