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Learn how to clean and prepare data in MATLAB with easy-to-use code templates
Updated on Sep, 2026
Teaching and Academics , Other Teaching & Academics, MATLAB
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This course is for you if you want to fully equip yourself with the art of applied machine learning using MATLAB . This course is also for you if you want to apply the most commonly used data preprocessing techniques without having to learn all the complicated maths. Additionally, this course is also for you if you have had previous hours and hours of machine learning implementation but could never figure out how to further improve the performance of the machine learning algorithms. By the end of this course, you will have at your fingertips, a vast variety of most commonly used data preprocessing techniques that you can use instantly to maximize your insight into your data set.
The approach in this course is very practical and we will start everything from scratch. We will immediately start coding after a couple of introductory tutorials and we try to keep the theory to a bare minimum. All the coding will be done in MATLAB which is one of the fundamental programming languages for engineering and science students and is frequently used by top data science research groups worldwide.
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I am Dr. Nouman Azam, and i am Associate Professor in Computer Science. I teach online courses related to Programming, and I have a rich community of students comprising of more than 50,000+ students.
The focus of my courses is to explain different aspects of Programming languages specifically focusing on MATLAB and Rust and how to use them effectively in routine daily life activities. In my courses, you will find topics such as basic programming, designing GUI's, data analysis and visualization, concurrency, textual processing, and many more.
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