Machine Learning A–Z with Python
Regression, classification, clustering and model evaluation with scikit-learn.
What you'll learn
- Train and evaluate ML models
- Engineer useful features
- Avoid overfitting
- Ship a model as an API
Course content
5 sections · 280 lectures · 6h 55m sample runtime
Getting started6 lectures · 42 min
▷ Lesson 17:00
▷ Lesson 27:00
▷ Lesson 37:00
▷ Lesson 47:00
Core concepts12 lectures · 118 min
▷ Lesson 110:00
▷ Lesson 210:00
▷ Lesson 310:00
▷ Lesson 410:00
Hands-on project9 lectures · 134 min
▷ Lesson 115:00
▷ Lesson 215:00
▷ Lesson 315:00
▷ Lesson 415:00
Going further8 lectures · 96 min
▷ Lesson 112:00
▷ Lesson 212:00
▷ Lesson 312:00
▷ Lesson 412:00
Final quiz & certificate3 lectures · 25 min
▷ Lesson 18:00
▷ Lesson 28:00
▷ Lesson 38:00
Requirements
- A computer or phone with an internet connection
- No prior experience needed — we start from the basics
Instructor
Rohan Iyer
AI Engineer
4.7 · 53K students
