Machine Learning Through MATLAB

Introduction

Machine Learning (ML) is transforming industries—from healthcare to finance—by automating decisions and uncovering hidden patterns in data. This hands-on course equips you with MATLAB’s ML toolbox to build, optimize, and deploy real-world models, even without prior coding expertise.

Objectives

Understand the core concepts of supervised and unsupervised learning
Preprocess, clean, and visualize data using MATLAB
Build classification, regression, and clustering models
Train, test, validate, and optimize machine learning models
Implement confusion matrix, ROC curve, MSE, R², and accuracy metrics
Compare algorithms and select the best model for a given problem
Deploy trained models in real-world applications (web, medical, finance, etc.)

Career Path

Machine Learning Engineer
MATLAB ML Developer
AI Assistant in Engineering and Research Labs
Data Science Intern
Freelance ML Model Developer
Research Assistant in Academia

Fee Structure Machine Learning Through MATLAB

Machine Learning Through MATLAB
Duration	8 Weeks
Total Semester	1
Total Package	10,000
At Admission Time	10,000
Additional Charges at the time of Admission	0
Examination Fee	0
Total Amount (At Admission)	10,000
Installment	0 * 2

Additional Charges at the time of Admission
Web Portal fee per year for Learning Management Syste	0
Library Security Fee (Refundable)	0
Student Card	0
Library & Magazine Fund	0
Total Additional Charges	0