Evaluacion_de_Cierre_Estadistica_aplicada_python_y_R_2026_1

Time Series Analysis: Dataset is downloaded from Kaggel.com website. The dataset contains two columns: Quarterly time from year 1947 to 2020 and Quarterly US GDP values from 1947 to 2020.

Reliability analysis studies how long a system or component continues to perform its intended function before failure. When lifetimes are subject to right-censoring, meaning some units have not failed by the end of observation, the Kaplan–Meier (KM) estimator provides a nonparametric estimate of the reliability (or survival) function: R(t) = P(T > t), where T denotes lifetime.

This document provides instructions on how to download and install the software and tools needed for HGEN 611: Data Science I

A practical comparison of four approaches for modeling insurance claim costs – Linear Regression, Two‑Part (Logistic+Gamma), Tweedie GLM, and XGBoost with Tweedie loss. Using simulated car insurance data, this project demonstrates the actuarial edge of the Tweedie distribution for zero‑inflated, skewed claim data. All models perform similarly, with XGBoost achieving a marginal 2.21% RMSE improvement. The real value lies in feature importance – revealing past claims and mileage as the strongest predictors.