/coursera-datascience-capstone

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Introduction

This repository consist of artifacts related to the Data Science Capstone Project offered by Coursera in collaboration with the Johns Hopkins University.

What can you find here ?

  1. All *.RData consist of reusable R Objects throughout the R Codes.
  2. week2.RMD is the first report submission for analyzing the Corpus.
  3. week3.R is the main orchestra for week 3 task; take some patience while going through it as the code might be somewhat messy.
  4. All the week3-*.R and week4-*.R consist of progress code until the final Shiny Application.
  5. Content in directory pitchSlideRpresentation consist of the code for pitch slides.

Deliverable

Milestone Report

  1. https://rpubs.com/yeongwei/data-science-capstone-milestone-report-datasets-exploratory-analysis-for-predictive-text-modelling

Shiny Application

  1. https://yeongwei.shinyapps.io/data-science-capstone/
  2. https://yeongwei116.shinyapps.io/data-science-capstone/

Pitch Slide

  1. https://rpubs.com/yeongwei/text-prediction-application

Benchmark Repository

  1. The text prediction routine has been benched mark against the code found in the repository below. But this is not a mandatory requirement by Coursera.
  2. https://github.com/yeongwei/coursera-datascience-capstone-benchmark

Contact

If you have any thoughts over the stuffs shared. Feel free to reach me at yeongwei2004@yahoo.com. Thanks!