ML Track
Machine Learning
Build models that learn from data and make predictions. You start with the maths that actually matters, then move to training, evaluating and deploying real models.
What you'll learn
- Supervised and unsupervised learning
- Regression and classification from first principles
- Feature engineering and model evaluation
- Neural networks and when not to use them
- Deploying a model behind an API