This repository contains machine learning notebooks focused on unsupervised learning. Each script is a guided Jupyter Notebook that walks through a key stage of the data-science workflow — combining conceptual explanations, analytical exploration, live coding exercises, and sample solutions.
Interactive Mode
Click the Launch Binder button above to experience the notebooks in interactive mode. It may take a minute to load the first time you launch.
Static Mode
Head to the supervised-learning repository to experience the notebooks in static mode. Note that if you wish to download notebooks to experience them locally, it is highly recommended that you first set up environment.yml (available in the repository).
- Script 01 - Fundamentals of Computer Vision
- Script 02 - Principal Component Analysis
- Script 03 - Combining PCA and Clustering
- Script 04 - Classification Modeling with Unsupervised Data
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© 2025 Chase Kusterer. All rights reserved.
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You are free to share and adapt the material for non-commercial purposes, as long as you give appropriate credit and indicate if changes were made.
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