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ANÁLISIS DE LOS TIEMPOS DE ATENCIÓN DE PACIENTES CLÍNICA SAN RAFAEL DE SANTA ANA
Procesos de Poisson usando Distribución exponencial
Titanik
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Predicting Exercise Quality Using Accelerometer Data
This report analyzes data collected from accelerometer sensors on the belt, arm, forearm, and dumbbell while subjects performed barbell lifting exercises. A machine learning model is trained to predict the manner in which the exercise was performed (classe). Data preprocessing, cross-validation, model selection, and expected out-of-sample error are discussed. The final random forest model is applied to 20 test cases for submission.
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