Image Processing & ML using MATLAB

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



Machine Learning With Matlab Course


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.

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


Yes, Cranes Varsity training is available through online

Our Online training is Instructor-Led live online sessions

Yes, we will provide training course material for each module

Yes, we offer weekend classes as well evening classes.



Duration: 1.5 months

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