1. Cleaning
2. Dataset
3. Training
4. Documentation
5. Testing
Written records that explain the project details.
A collection of data used for analysis or training.
Checking if the model works correctly.
Removing errors or unwanted parts from data.
Teaching a model to learn from data.
Drag the cards on the right so each lines up with the correct item on the left.
