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STK 353 · 2024
Data Analytics Practicals
End-to-end data science pipelines in R and Python — PCA, Monte Carlo sampling, classification, clustering, random forests, and NLP topic modelling.
RPythonscikit-learnggplot2
shipped
Coursework from STK 353 at UP. Covers PCA, Monte Carlo and bootstrap sampling, classification, clustering, random forest, naive Bayes, KNN, cross-validation, topic modelling, and word embeddings — all implemented in R and Python.