Learning paths
Machine Learning Engineer
For analysts and Python developers who want models that make it out of the notebook. You learn pandas and SQL to get clean data, train and evaluate models with scikit-learn, then put them in containers so they behave the same on your laptop and in production.
4 courses · 25h 25m total
Where it gets you
- Prepare training data with pandas and SQL without leakage
- Train, tune and cross-validate scikit-learn models
- Choose metrics that match the real cost of a wrong prediction
- Package a model as a service in a Docker container
