R markdown for providing my approach to the Titanic Competition in Kaggle This kernel includes data loading cleaning and some exploratory work it also contains basic modeling

This project is about understanding and building a predictive text model The goal is to use Text Data set from Blogs, News and Twitter and create an NLP Model The outcome is to get a sentence or a string and predict the next word The Last step is to build a data Product using Shiny APP that will illustrate the Prediction

Data Science Capstone - Predicting the next word Mile Stone Report

You get 5 slides (inclusive of the title slide) to pitch a your app. You're going to create a web page using Slidify or Rstudio Presenter with an html5 slide deck. Here's what you need 5 slides to pitch our idea done in Slidify or Rstudio Presenter Your presentation pushed to github or Rpubs A link to your github or Rpubs presentation pasted into the provided text box Your presentation must satisfy the following It must be done in Slidify or Rstudio Presenter It must be 5 pages It must be hosted on github or Rpubs It must contained some embedded R code that gets run when slidifying the document

This project illustrates the use of Plot_ly. The dataset used: The housing data set(from Ecdat). The plot provides a 3D interactive scatter plot for the following variables: * Price * Lot Size * Number of Bath Rooms * Number of Stories

The purpose of this research project is to asses the impact of wheater events on public health and the economy. Using the NOAA Storm Database, which contains data from the years 1950-2011 about wheater events, Property and Crop cost damage as well as numbers of injuries and fatalities in the US.