Core machine-learning literacy for analysts and power users. Participants learn the difference between supervised and unsupervised learning, work through regression and classification intuitively, understand how models are evaluated, and get hands-on with no-code ML tools so the concepts stick without a coding prerequisite.
HRD Corp SBL-Khas Claimable
Supervised vs Unsupervised
The two families of ML, when each applies, and examples participants will recognise from their own work.
Regression & Classification
Predicting a number vs predicting a category, with worked examples and the intuitions behind each.
Model Evaluation
Train/test splits, accuracy, precision/recall, and why a 'good' score can still be a bad model.
No-Code ML Tools
Building and comparing models in a visual tool, interpreting outputs, and knowing the limits of auto-ML.
Training Mode Physical / Online / Hybrid / e-learning
HRD Corp SBL-Khas Claimable
Duration 1 Day
Training Hours 9:00 AM to 5:00 PM
Level Intermediate (analyst level)
Certificate None — Orbix own course. Delivered as an HRD Corp claimable workshop with an Orbix certificate of completion.
