Machine Learning with MATLAB
SkillDynamo’s Machine Learning with MATLAB course builds a complete workflow for data preparation, feature engineering, classification, regression, clustering, validation, model comparison, and production-oriented prediction.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Machine Learning with MATLAB course builds a complete workflow for data preparation, feature engineering, classification, regression, clustering, validation, model comparison, and production-oriented prediction.
What You Will Learn
- Prepare and explore data for machine-learning tasks.
- Train classification, regression, clustering, and anomaly-detection models.
- Compare models using appropriate validation and performance metrics.
- Generate reusable MATLAB code and deploy prediction workflows.
Who Should Attend
Analysts, data scientists, engineers, researchers, and MATLAB users who want practical predictive-modeling skills.
Recommended Prerequisites
Basic MATLAB programming and introductory statistics are recommended.
SkillDynamo Training Approach
This independently rewritten course combines explanations, guided MATLAB exercises,
data or model validation, troubleshooting, and practical project work. Review toolbox availability
and release-specific features in the MATLAB environment used for delivery before publishing.
Curriculum
- 1 Section
- 4 Lessons
- 24 Hours
- Course Curriculum4 Items
SkillDynamo Expert Team
SkillDynamo Expert Team
The SkillDynamo Expert Team delivers practical training in MATLAB programming, data analysis,
machine learning, deep learning, signal and image processing, scientific computing, control systems,
Simulink, and engineering simulation.
- Hands-on MATLAB scripts, functions, apps, and modeling exercises
- Structured data, AI, signal, control, and simulation workflows
- Practical validation, troubleshooting, and project guidance
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