Machine Learning Foundations

About this course

Develop a working foundation in machine learning, from regression and classification to reliable validation and reusable feature pipelines.

This foundation course is part of the AI & Generative AI school. The curriculum includes an estimated 10 h of study content. Instructor-led delivery is available online or offline; session schedules are confirmed during enrollment.

Course curriculum

• Module 1 — The Machine Learning Workflow
• Module 2 — Regression
• Module 3 — Classification
• Module 4 — Trees and Ensembles
• Module 5 — Evaluation and Cross-Validation
• Module 6 — Features and Pipelines
• Module 7 — Unsupervised Learning

Applied learning

• Case Study — Lumen Mobile: turning a churn model into a retention programme
• Lab 1 — Predict apartment prices
• Lab 2 — Predict customer churn
• Lab 3 — Segment customers
• Capstone — End-to-End Model and Model Card

Who this course is for

Student / Beginner; Technology Professional; Data Professional; Engineer / Architect

Prerequisites

No prerequisite course is listed in the academy catalog.

Course details

• Course code: NE-AI-106
• Level: Foundation
• Estimated duration: 10 h
• Delivery: Self-Paced