Predictive Modeling and Machine Learning with MATLAB
Master machine learning workflows in MATLAB, from data preparation to model evaluation, with hands-on applications.
Master machine learning workflows in MATLAB, from data preparation to model evaluation, with hands-on applications.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Practical Data Science with MATLAB Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(115 ratings)
15,675 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Build and evaluate regression models
Implement classification algorithms
Optimize model performance through feature selection
Handle class imbalance and complex datasets
Deploy machine learning models in practical applications
Skills you'll gain
This course includes:
18 Hours PreRecorded video
11 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This comprehensive course teaches practical machine learning using MATLAB, covering the complete supervised learning workflow. Students learn to create regression and classification models, handle data preprocessing, evaluate model performance, and implement advanced techniques like ensemble methods and hyperparameter optimization. The curriculum includes hands-on projects with real-world datasets, teaching students to build and deploy effective machine learning solutions using MATLAB's powerful tools and apps.
Creating Regression Models
Module 1 · 5 Hours to complete
Creating Classification Models
Module 2 · 4 Hours to complete
Applying the Supervised Machine Learning Workflow
Module 3 · 4 Hours to complete
Advanced Topics and Next Steps
Module 4 · 4 Hours to complete
Fee Structure
Instructors
Principal Online Course Developer at MathWorks
Nikola Trica holds a Dipl.-Ing. degree in Computer and Systems Engineering from Technische Universität Ilmenau, specializing in Systems Engineering and Intelligent Control. She has been with MathWorks since 2006, initially delivering training on MATLAB, Simulink, and Control Design to customers in Europe. Since 2014, she has transitioned to developing online content for global audiences.
Senior Online Content Developer at MathWorks
Brian Buechel is a Senior Online Content Developer at MathWorks, where he specializes in creating educational content that leverages MATLAB and Simulink. He holds a Master’s degree from Harvard University in Speech and Hearing Biosciences and Technology, with research focused on the neural mechanisms of binaural hearing using bilateral cochlear implants. Prior to his role at MathWorks, Brian worked at Harvard Medical School, where he developed online courses with adaptive assessments for the Department of Systems Biology.
Testimonials
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4.8 course rating
115 ratings
Frequently asked questions
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