Getting started with MLJ

If you are new to MLJ but are familiar with Julia and with Machine Learning, we recommend you start by going through the short Getting started examples in order:

1. How to choose a model,

2. How to fit, predict and transform

3. How to tune models

4. How to ensemble models

5. How to ensemble models (2)

6. More on ensembles

7. How to compose models

8. How to build a learning network

9. How to create models from learning networks

10. An extended tutorial on stacking

Additionally, you can refer to the documentation for more detailed information.