Python Idle
The botanical institute has issued a grand challenge: given only raw iris measurements — no labels — build a full analysis pipeline that standardizes the data, reduces it to two dimensions, discovers natural groupings, and produces a publication-ready scatter plot. Previous analysts used ad-hoc approaches. You'll bring the rigor of a proper unsupervised pipeline. Show them what a real data scientist can do.
~25 minproject150 rows
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Goals: 4 tests
should standardize the data with StandardScaler
should apply PCA for dimensionality reduction
should assign cluster labels to all samples
should create a visualization
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