This project demonstrates an interactive Shiny web application that predicts Miles Per Gallon (MPG) of a car using the classic mtcars dataset. Users can input Horsepower, Weight, and Number of Cylinders, and the app provides a real-time MPG prediction using a linear regression model.

manejo de listas en RStudio, como eliminacion e incremento de objetos en las listas,

To meet new regulatory requirements, our data science team developed a predictive model that identifies which manufacturing variables most influence product pH. This model enables us to: • Predict pH levels before products leave the manufacturing line • Understand the key drivers of pH variation in our process • Make targeted adjustments to improve product consistency Our model explains approximately 68% of the variation in pH, giving us a reliable tool for quality control and process optimization.