Predictive Modeling and Machine Learning with MATLAB (Coursera)

Predictive Modeling and Machine Learning with MATLAB (Coursera)

Predictive Modeling and Machine Learning with MATLAB is online course offered by MathWorks via Coursera.

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Overview

In Predictive Modeling and Machine Learning with MATLAB 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.

Syllabus

Creating Regression Models

In this module you’ll apply the skills gained from the first two courses in the specialization on a new dataset. You’ll be introduced to the Supervised Machine Learning Workflow and learn key terms. You’ll end the module by creating and evaluating regression machine learning models.

Creating Classification Models

In this module you’ll learn the basics of classification models. You’ll train several types of classification models and evaluation the results.

Applying the Supervised Machine Learning Workflow

In this module you’ll apply the complete supervised machine learning workflow. You’ll use validation data inform model creation. You’ll apply different feature selection techniques to reduce model complexity. You’ll create ensemble models and optimize hyperparameters. At the end of the module, you’ll apply these concepts to a final project.

Additional information

Course Delivery

Online

Course Efforts

22 Hours

Course Enrollment

Free

Course Language

English

Course Length

4 Weeks

Course Level

Intermediate

Course Provider

Course School

Course Subtitles

English

Flexible Learning

Yes

Verified Certificate

Paid

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