Exercise 2 — PCA in 2D, coloured by cluster and by fault

Guided practice5 min
Time
20-30 min
You need
the kit, the venv active, python data/make_dataset.py done, Exercise 1 finished
Deliverable
week07/pca_clusters.png and the fault rate of the heavy mode

The lab kit of the course: https://github.com/hrhouma2/aiopsatlas-ml-data-diagnostics-labs-en

Goal

Exercise 1 gave every daily reading a mode: idle, normal or heavy. Now you draw them. Four sensor columns become two axes with PCA. You colour the same picture twice: once by mode, once by fault_next_7d. Then you answer the question NorthPeak cares about: do faults happen in one mode more than the others?

Preview — the rest of the lesson is for enrolled readers.

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This lesson is part of the “Week 7 — Clustering and neural networks” module

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