AI & dataIntermediate

Machine Learning Basics

Build honest models, measure them properly and know their limits.

A practical introduction to supervised and unsupervised learning with scikit-learn. Split data correctly, train regression and classification models, evaluate them and avoid the classic traps.

10 lessons 2 hours Certificate included Self-paced

Reviewed and updated October 2026 · Free to start

What you will learn

By the end, you can do this.

  • Frame a problem as a learning task
  • Train and evaluate baseline models
  • Diagnose overfitting and leakage
  • Explain a model’s limits responsibly
Certification

Finish the course. Prove the skill.

Complete every lesson, then pass a timed assessment to earn the Machine Learning Basics Certificate. Each credential has a unique ID and a QR code that resolves to a live public record.

  • 10 randomized questions
  • 30 minute limit · 80% to pass
  • 3 attempts per enrolment
  • Verifiable by QR or credential ID

Pro members get five certification attempts and unlimited timed mock exams. Compare Pro

EduByte.tech
EduByte · Skills certificationIssued 26 Oct 2026

This certifies that

Your name

has successfully completed the assessed program

Machine Learning Basics

Frame a problem as a learning taskTrain and evaluate baseline modelsDiagnose overfitting and leakage

Credential IDEB-ML-XXXX-XXXX
Program codeEB-ML-01
Scan to verify
www.edubyte.tech/verify/EB-ML-XXXX-XXXX