K-Means, DBSCAN, SOM까지 모든 군집분석 알고리즘을 완벽하게 이해하고, 거리 측정 방법, 하이퍼파라미터 설정, SKARI 플랫폼 활용까지 배워보세요.
3 articles
Eight classification models, one decision framework. Understand when to use each — accuracy vs. interpretability, data requirements, and when each method fails.
LDA vs. QDA from first principles. Covers Wilks' Lambda, Box's M, the discriminant projection plot, and how to interpret classification results with real output examples.
From OLS equations to residual diagnostics. R², adjusted R², VIF, F-statistic, and coefficient interpretation — with annotated platform output at each step.