I'm Mani Kumar Kundurthi — I work in data science and quantitative modeling, and write here as I work through machine learning, coding, and mathematics.
This is a running notebook, not a polished blog: derivations, implementation notes, and things I wanted to understand properly rather than skim past. Read the about page for more.
Articles
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05
Precision, Recall, and the F-beta Score
Why accuracy lies on imbalanced data, and how F-beta lets you choose which error costs more.
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04
Ensemble Methods: Bagging vs. Boosting
Why bagging reduces variance while boosting reduces bias, worked through with the underlying math.
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03
KNN vs. K-Means: Same Letter, Different Problem
One is supervised classification, the other unsupervised clustering — the name similarity is a trap.