Abdullah Albyati Business School, Golden Gate University MSBA 320: Advanced Statistical Analysis with R & PythonForum Dr. Siamak Zadeh August 12, 2021

A map with location of announced open shelters for Hurricane lane for the Island of Oahu.

This App was created by Abdullah Albyati @ https://www.albyati.com using R with the following packages

This presentation will provide an overview of my algorithm to predict the next word in a sentence.This is the Capstone project for Johns Hopkins University Data Science specialization on coursera.org

The goal of this project is just to display that you've gotten used to working with the data and that you are on track to create your prediction algorithm. Please submit a report on R Pubs (http://rpubs.com/) that explains your exploratory analysis and your goals for the eventual app and algorithm. This document should be concise and explain only the major features of the data you have identified and briefly summarize your plans for creating the prediction algorithm and Shiny app in a way that would be understandable to a non-data scientist manager. You should make use of tables and plots to illustrate important summaries of the data set. The motivation for this project is to: 1. Demonstrate that you've downloaded the data and have successfully loaded it in.2. Create a basic report of summary statistics about the data sets.3. Report any interesting findings that you amassed so far.4. Get feedback on your plans for creating a prediction algorithm and Shiny app.

This peer assessed assignment has two parts. First, you will create a Shiny application and deploy it on Rstudio's servers. Second, you will use Slidify or Rstudio Presenter to prepare a reproducible pitch presentation about your application.

Interactive map to show the number of DACA applicants per state and the total number of DACA applicants in the United States

A list of open Hurrican Shelters in Florida ahead of Hurrican Irma

This interactive map shows the countries that falls in the so-called “Coffee Belt” click on each icon for that country’s coffee tasting notes and a link to purchase a single origin 100% coffee from that country

The goal of your project is to predict the manner in which they did the exercise. This is the "classe" variable in the training set. You may use any of the other variables to predict with. You should create a report describing how you built your model, how you used cross validation, what you think the expected out of sample error is, and why you made the choices you did. You will also use your prediction model to predict 20 different test cases.

This project involves exploring the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage.