Data Science Capstone - Final Project Submission

Data Science Specialization - Coursera

The goal of this exercise is to create a product to highlight the prediction algorithm that you have built and to provide an interface that can be accessed by others. For this project you must submit:

• A Shiny app that takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word.
• A slide deck consisting of no more than 5 slides created with R Studio Presenter (https://support.rstudio.com/hc/en-us/articles/200486468-Authoring-R-Presentations) pitching your algorithm and app as if you were presenting to your boss or an investor.

• Getting and cleaning data
• Exploratory Data Analysis
• Creating a report of the analysis
• producing n-gram files
• using the n-gram file to create functions for Prediction model
• creating the shiny app
• creating a five slide presentation

• Getting and cleaning data(https://github.com/Jayashree-Kulothungan/Data-Science-Capstone/blob/main/week-7/loadingData.R)
• Exploratory Data Analysis(https://github.com/Jayashree-Kulothungan/Data-Science-Capstone/blob/main/Week%202/Week2-ngrams.R) -report of the analysis(https://rpubs.com/Jayasree_Kulothungan/Data-SCience-Capstone-Week-2-Assignment)
• producing n-gram(https://github.com/Jayashree-Kulothungan/Data-Science-Capstone/blob/main/week-7/n-grams.R)
• Prediction model (https://github.com/Jayashree-Kulothungan/Data-Science-Capstone/blob/main/week-7/function.R)

Source code : (https://github.com/Jayashree-Kulothungan/Data-Science-Capstone/blob/main/week-7/app.R) To check out the shiny app,click on https://jayasree-kulothungan.shinyapps.io/prediction-app/