Incremental Capstone Infographic
Incremental Capstone Hub
Each session page follows the same structure: objective, requirement checklist, code walkthrough, parameter controls, and generated outputs, with source folders staged inside the production tree for FrancisBurnet.
12 Sessions — One Continuous Build
Every capstone builds on the last. Sessions 1–4 cover applied data science, sessions 5–9 cover machine learning, and sessions 10–12 cover deep learning — each with a live results feed and linked Jupyter notebook.
Select a session below to view its objective, dataset, and live model outputs.
Applied Data Science
Capstones 1 through 4 from the applied data science track.
Machine Learning
Capstones 5 through 8 from the machine learning track.
Deep Learning
Capstones 9 through 12 from the deep learning track.