Machine Learning Data Analytics

This program emphasizes hands-on learning, allowing participants to build, train and evaluate machine learning models visually using workflows, making ML accessible to both technical and non-technical learners.

Instructor-led

HRD Corp Claimable

3 Days

Certification

Overview

Machine Learning Data Analytics program introduces participants to fundamental machine learning concepts and demonstrates how supervised and unsupervised learning techniques can be implemented using the KNIME Analytics Platform through a no-code / low-code approach.

Overview of Machine Learning concepts and learning paradigms.
Supervised Machine Learning for prediction and classification.
Unsupervised Machine Learning for pattern discovery and data grouping.
Model evaluation, revision, assessment.

Who Should Attend

Engineers, technicians, technical managers, Data and business analysts, and IT/ERP support teams.

Pre-requisite

Successful completion of SHRDC Data Analytics Essentials (DAE).

Duration

3 Days

Training Methodology

Participants are exposed to theoretical fundamentals and demonstrations of information technology related followed by hands-on activities to support application of competencies acquired.

Learning Outcomes

After completing this session, learner should be able to:

Explain fundamental machine learning concepts and terminology
Differentiate between supervised and unsupervised learning
Interpret model outputs for decision-making