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Learn to build, evaluate, and optimize regression and classification models using MATLAB. Apply supervised machine learning workflows to real-world datasets and improve model performance through feature selection and hyperparameter tuning.
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling.
In this course, you will learn to think like a data scientist and ask questions of your data. By the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your re…
Develop practical data science skills using MATLAB for visualization, analysis, and modeling. Learn to process data, engineer features, and apply machine learning techniques across various industries without becoming a full-time developer.
Master the essentials of data visualization, data analysis, programming, and app design interactively with MATLAB.
Learn essential image processing techniques using MATLAB, including loading, adjusting, segmenting, and enhancing digital images for analysis. Apply skills to real-world scenarios like satellite imagery.
Hands-on introduction to MATLAB programming, covering basic commands, data manipulation, plotting, and problem-solving techniques for scientific computing and data analysis.
Learn essential engineering design and simulation skills using Simulink and Simscape. Model and test complex systems, from basic components to a complete quadcopter, applying industry-standard techniques.
Explore feature detection, extraction, and matching for image alignment and stitching. Learn to estimate geometric transformations and perform image registration using MATLAB.
Learn how to use MATLAB and Simulink with platforms like VEX Robotics, LEGO and other educational robotics kits. MathWorks experts share knowledge on elementary concepts in robotics for beginners.
Explore image processing techniques for engineering and science applications using MATLAB. Learn to analyze, design, and build systems for real-world scenarios like arctic ice monitoring and MRI analysis.
Automate image processing for large datasets and video files using MATLAB. Apply skills to detect cars in noisy traffic footage, enhancing efficiency in engineering and scientific workflows.
Learn to detect and locate objects using deep learning for computer vision. Train YOLO models, evaluate results, and apply techniques to real-world scenarios like autonomous navigation and medical imaging.
Learn advanced image processing techniques including spatial filtering, edge detection, and region analysis. Apply these skills to segment and analyze MRI brain images using MATLAB.
Master dynamic system modeling and simulation using Simulink's block diagram environment. Create, test, and optimize engineering designs across multiple domains while gaining practical experience in system analysis and control.
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