Scripts of joins and aggregates of sf sf and tables.

Make predictions about potential customers of a bank in Portugal—whether they subscribe to a term deposit (“Yes”) or not (“No”).

Conduct churn analysis using two machine learning models Logistic Regression and K-NN. The dataset used is `WA_Fn-UseC_-Telco-Customer-Churn.csv`, which contains customer data from a telecommunications company.

A comparison of assessment marks before and after the introduction of AI in a foundation statistics course

Project done by Murali, Bhujanganath, Sundareswaran, Hemanth Narayanan, Shyamala Rupan

Este ejercicio aplica el modelo Fay-Herriot (SAE) para estimar el ingreso promedio municipal, Combinando datos simulados representativos de la ENIGH con información auxiliar censal.

PREDICTED REGRESSION