I use R to analyze the sales of a Cyclying company, and use visuals to gain insights on the data

Impact Of Natural Disasters On The Economy And The Public Health Of The United States

En esta investigación, se analizará la variabilidad de la sismicidad en Colombia mediante pruebas estadísticas que permitan identificar diferencias significativas en la magnitud y la profundidad de los sismos según su distribución regional y temporal

Tugas 3 (Margin of Error) Nama : Isnaini Nur Hasanah NIM : 52240005 Matkul : Sampling & Survey Techniques

In this analysis, multiple classification models, including K-Nearest Neighbors (KNN), Linear Discriminant Analysis (LDA), Generalized Linear Models (GLM), Quadratic Discriminant Analysis (QDA), and Naive Bayes, are applied to various datasets. The goal is to explore and compare the performance of these models in predicting categorical outcomes. The analysis involves data preprocessing, model training, and evaluation of prediction accuracy using metrics like confusion matrices. Each model's strengths and limitations are discussed in the context of the datasets used.