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🤖 Machine Learning Workshop - Unsupervised Learning

Welcome to the Machine Learning Workshop – Unsupervised Learning module.

This repository contains materials for hands-on materials for unsupervised learning techniques including clustering, dimensionality reduction, and anomaly detection.


📚 Contents

  • K-Means_iris_dataset.ipynb apply K-Means on the built-in iris dataset.
  • HierarchicalClustering_iris_dataset.ipynb - apply hierarchical clustering on the built-in iris datasets.
  • DBSCAN_iris_dataset.ipynb - apply DBSCAN on built-in iris datasets.
  • DBSCAN_anomaly_tripadvisor.ipynb - apply DBSCAN on provided tripadvisor_reviews.csv

Workshop Activities

  • Workshop_clustering_project.ipynb - request you to apply different clustering techniques on wholesale_clients.csv

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Materials for NUS ISS Machine learning EEP course, day 2.

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