Machine Learning — Foundation
- Foundation
- 4 months, 5–8 hrs/week
20 USDper month
Starts after Data Science Core, or the same skills: Python, Pandas, SQL and basic statistics. You'll train your first models, learn how a model actually learns, and start writing code the way engineers do, with tests.
- Scikit-learn
- NumPy
- Model evaluation
- Testing
Phase 1
Your first models
Regression, classification and decision trees with Scikit-learn.
Phase 2
How models learn
Loss, gradient descent and overfitting, with the math worked out in code.
Phase 3
Code like an engineer
Clean project structure, tests, and experiments you can reproduce.
Phase 4
Capstone
Train, evaluate and explain a model on a real dataset, in a tested project.