EFT_training

World Stock Prices Dataset Tiểu luận môn Ngôn ngữ lập trình GVHD: Ths. Trần Mạnh Tường Sinh viên thực hiện: Lê Nhỉ Khan và Lê Quang Đạt

This project analyzes the UCI Bank Marketing dataset using R to predict customer subscription behavior for term deposits. Logistic Regression and Naive Bayes models were applied and compared using performance metrics such as accuracy, sensitivity, specificity, and AUC. The analysis identifies key demographic and campaign factors influencing customer responses and offers actionable marketing insights.

Flowchart of staging rules

title: "U.S. Exports to Hong Kong - Port and Product Analysis" author: "Felipe Souza" date: "2025-10-14"

Comparison between the GDP and Population growth in China, India and the USA from 2000 to 2015.

Graph Listeria inhibition by lab strains