Trabajo realizado con ENBIARE.

Practical Machine Learning course project by Sonja Sahebzad. A random forest model was developed using five-fold cross-validation to predict barbell-lift execution from wearable-sensor data. The report includes preprocessing, model evaluation, expected out-of-sample error, discussion, conclusions, and predictions for 20 test cases.

Primera practica con ENBIARE.

Segundo trabajo de analisis