In this document, is explain how and why was built the shiny app and the predictive text model

Milestone Report for week 2 of the Coursera Data Science Capstone project. The objective is to develop an understanding of the various statistical properties of the dataset. The model will be trained using a unified document corpus compiled from the following three sources of text data: Blogs News Twitter

Analisis de acciones desde el 2012 hasta el 2017, de las acciones de amazon, google, apple y facebook.

Course Project: Shiny Application and Reproducible Pitch

There are several chart examples to know more about plotly package.

In the next interactive map, it easy to see the confirm coronavirus cases with date update 1 - august- 2020, using leaflet package in RStudio.

In this project, we are using various types of models to predict exercise data from smart wearables.

Regression Models Course Project

the following project makes an analysis of the ToothGrowth dataset.

In the current project, it will be investigated the exponential distribution and compare it with the Central Limit Theorem.

This document contains the assignment for the second Coure Project, from the Reproducible Research course in Coursera