Machine Learning with Python
Build, evaluate, and communicate responsible machine-learning workflows in Python.
- Level
- advanced
- Duration
- 40 hours
- Access
- free
- Languages
- English
Price and billing
- Price
- Free
- Billing basis
- Not applicable
Learning outcomes
- Translate a real decision into a measurable learning problem and data contract.
- Prepare training data without leaking evaluation information.
- Fit and evaluate regression models against meaningful baselines.
- Build classifiers and interpret their errors under class imbalance.
- Explore unlabeled structure without overstating discovered patterns.
- Compare candidate models with repeatable validation and tuning.
- Assess model behavior across people, contexts, and failure modes.
- Deliver a reproducible model with evaluation, limitations, and deployment safeguards.
Requirements
- Prior knowledge
- Basic programming experience is recommended.
- Devices
- A computer with a modern web browser is recommended for practical work.
- Software
- A modern browser with JavaScript enabled; coding tools run inside the course.
- Equipment
- No additional physical equipment is required unless a course activity explicitly states otherwise.
- Connectivity
- Internet access is required to load course content, save progress, and submit work.
- A modern browser and reliable internet connection
- Time for four to six hours of practice per week
- Completion of each server-scored unit assessment in order
Curriculum
8 units
Assessments and completion
Each of the eight units includes a server-scored assessment. Learners must score at least 70% to pass a unit; up to three attempts are allowed per assessment.
Access period
- Duration
- No fixed expiry
- Access starts
- Enrollment
Certificate
- Offer
- No certificate is currently offered.
- Issuer
- Not applicable.
- Fee policy
- No certificate
- Verification
- Not advertised.