SIX DAYS SKILLING PROGRAMME ON MACHINE LEARNING AND DATA ANALYTICS USING MATLAB
TO DEVELOP PRACTICAL SKILLS IN APPLYING MACHINELEARNING ALGORITHM USING MATLAB FOR DATA ANALYSIS, MODEL DEVELOPMENT,PREDICTION AND REALWORLD ENGINEERING APPLICATIONS
Event information
| Date | 2026-09-15 to 2026-09-21 |
|---|---|
| Academic Year | 2026-2027 |
| Department | B.E- Electronics and Communication Engineering |
| Venue | AICTE IDEA LAB-F004 |
| Participants | 61 |
Related SDGs
Description and outcomes
EVENT DESCRIPTION
The **Six Days Skilling Programme on Machine Learning and Data Analytics Using MATLAB** is designed to provide participants with practical knowledge and hands-on experience in applying machine learning and data analytics techniques using the MATLAB environment. The programme aims to bridge the gap between theoretical concepts and real-world applications through a structured combination of expert sessions, demonstrations, practical exercises, and guided activities.
The programme will introduce participants to the fundamentals of **data pre-processing, data visualization, feature selection, statistical analysis, classification, regression, clustering, and machine learning model development** using MATLAB. Participants will also gain exposure to MATLAB tools and workflows for analysing datasets, developing predictive models, evaluating model performance, and interpreting results.
Through hands-on training and application-oriented exercises, participants will develop the skills required to work with real-world datasets and implement appropriate machine learning and data analytics techniques. The programme will also encourage participants to explore the use of MATLAB for **engineering, research, automation, signal processing, healthcare, and other interdisciplinary applications**.
By the end of the six-day programme, participants are expected to have a stronger understanding of machine learning workflows and the ability to apply MATLAB-based analytical techniques to solve practical problems and support research and innovation.
Key outcomes
PARTICIPANTS WILL BE ABLE TO IMPLEMENT AND EVALUATE MACHINE LEARNING MODEL USING MATLAB AND APPLY THEM TO SOLVE REALWORLD ENGINEERING PROBLEMS