R Basics

This project applies R & time-series analytics to Walmart quarterly sales forecasting, covering EDA, STL decomposition, Box-Cox transformation, four baseline benchmarks, TSLM, SARIMA and ETS modeling; cross-validate model performance with RMSE/MAPE/AIC and Ljung-Box test, final report built via R Markdown with fpp3/tidyverse toolkit.

As of May 31, 2026

Analisis clustering pada dataset Abalone (UCI Machine Learning Repository) menggunakan dua metode yaitu K-Means dan PAM (K-Medoids). Hasil clustering divalidasi menggunakan tiga jenis kriteria: validasi eksternal (Cluster Accuracy, Cluster Purity, Rand Index), validasi internal (Silhouette Width, Shadow Value), dan validasi relatif (Consensus Matrix). Dibuat sebagai tugas mata kuliah Statistical Machine Learning.