Image Processing & ML using MATLAB

Eligibility: BE, B.Tech, ME, M.Tech



Machine Learning With Matlab Course


The MATLAB programming language is a matrix-based language that facilitates matrix manipulation, function and data charting, algorithm implementation, the creation of user interfaces, and the development of interfaces with other programs written in languages like C, C++, C#, Java, Fortran, and Python.

Cranes Varsity offers a simple, easy-to-use interface for Image Processing and MATLAB with Machine Learning course. From our introductory course on machine learning, which breaks down the basics of using algorithms and data science, to our advanced course on predictive modeling, which teaches you how to use machine learning in MATLAB, we have everything you need.

Start by enrolling immediately in the Specialization, or browse through its courses and select the one you want to take first. You instantly become a member of the whole Specialization when you sign up for a course that is a part of it. It’s OK to finish just one course because you may always halt your studies or cancel your subscription. To keep tabs on your enrollments in courses and advancement, visit your learner dashboard.

Each Specialization comes with a practical project. The project(s) must be completed successfully in order for you to complete the Specialization and receive your certificate. You must complete every other course in the Specialization, even if the hands-on project is taught in a separate course.

You will receive a globally acceptedcertificate once you have finished all of the courses and the practical project, which you can show to potential employers and people in your professional network.

Learn how to use image processing?

Image Processing Course will teach you how to use image processing, which is a technique that allows you to manipulate photos and other images. The course will cover the different types of software that are available, as well as how to use them. You’ll also learn about some of the most common techniques used in the field and how they can help you when editing your own images.

Course Outline:

  • Flow control Commands
  • IF statements
  • While Statements
  • For Loops
  • User-defined functions
  • GUI development
  • Need of GUI
  • Creating GUI
  • Interfacing of MATLAB script and GUI

  • What is SIMULINK?
  • Operating Principle and Management of Simulink
  • Constructing a Simulink Block Diagram
  • Parameterizing Simulink Blocks
  • Simulink Simulation
  • Solving Differential Equations with Simulink
  • Simplification of Simulink Systems
  • The Function Block
  • Construction of Subsystems
  • Interaction with MATLAB
  • Transfer of Variables between
  • Simulink and MATLAB
  • Embedded Code Generation

  • Electrical Systems Modelling
  • Control Systems Modelling
  • Mechanical Systems Modelling
  • Hydraulic Systems Modelling
  • Multi-Domain Modelling

  • What is a State Machine?
  • Getting started with Stateflow
  • Conceptual Example 
  • State Actions (entry, during, exit)
  • Using MATLAB & SIMULINK Functions inside your State Machine

Placement Statistics


The implementation of image processing techniques has had a massive impact on many tech organizations. Here are some of the most useful benefits of image processing, regardless of the field of operation

Yes, using MATLAB for Machine Learning we can Train models, tune parameters, and deploy to production or the edge.

You will have access to the lectures once the program begins. Assignments will be periodical during the program.



Duration: 1.5 months

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