Section 2
Unsupervised Learning & Dimensionality Reduction
Section 2 finds structure in data without labels, on 1,797 handwritten digits, the Wisconsin breast-cancer data and documented synthetic logs, and follows each method into the vector indexes, topic models, monitors and recommenders built on it. It closes with the feature pipelines and point-in-time joins that decide whether any model's evaluation can be believed.
Chapters
6
Lesson Reading
4 hr 50 min
Labs
6
Interview Sets
6
Chapter Path
Chapter 7Clustering: K-Means from ScratchLevel: Intermediate45 minutesAcademy PassChapter 8Hierarchical & Density-Based ClusteringLevel: Intermediate45 minutesAcademy PassChapter 9Principal Component AnalysisLevel: Intermediate55 minutesAcademy PassChapter 10Anomaly DetectionLevel: Intermediate50 minutesAcademy PassChapter 11Recommender SystemsLevel: Intermediate40 minutesAcademy PassChapter 12Feature Engineering & Data PreprocessingLevel: Intermediate55 minutesAcademy Pass