End-to-End ML Workflow
Machine Learning · Beginner
Definition
An ML project goes from problem definition to data, model, evaluation and deployment.
Knowing the full pipeline matters more than any single algorithm.
Diagram
Flowchart
Example: Baseline accuracy
labels = [1, 0, 1, 1, 0, 1]
majority = max(set(labels), key=labels.count)
print(round(labels.count(majority) / len(labels), 3))Output: 0.667
Key points
- Always start with a simple baseline
- Monitor for data drift after deployment
Interview questions
Why a baseline?
It shows whether a complex model actually adds value.