Learning trackBeginnerMachine Learning
Machine Learning Foundations
A structured track from supervised learning basics to model evaluation — built for engineers entering applied ML.
What you'll walk away with
- Train baseline models
- choose metrics correctly
- diagnose underfitting/overfitting
- ship a reproducible notebook workflow
Course certificate
DecodeAI Certificate in Machine Learning Foundations
Earn by passing all topic quizzes (0/3)
Remaining: Supervised Learning Mental Models, Loss, Metrics & Evaluation, Regularization & Generalization
Tip: complete every module quiz at ≥ pass mark to unlock certification.
Syllabus
Module 1Free preview
Supervised Learning Mental Models
Features, labels, hypothesis class, and the train/serve gap.
Theory 2 lessons Quiz Cheatsheet
Module 2Free preview
Loss, Metrics & Evaluation
Pick losses and metrics that match the decision you are making.
Theory 2 lessons Quiz Cheatsheet
Module 3Pro
Regularization & Generalization
Bias-variance, early stopping, and capacity control.
Theory 2 lessons Quiz Cheatsheet