Coursera Data Science: Final Project
author: Ran Tang date: July 7th 2021 font-family: ‘Helvetica’ autosize: true transition: fade
Measuring your own strength across weight classes
Introduction - Coursera Data Science Specialization Final Course Project
This is the slide deck for the final project of the Coursera Data Science Specialization Capstone course. The project is to build a predictive model using NLP to recommend the most likely next word given a string input.
The model itself was built using R and developed into a Shiny Application.
Background Information and Methodology
The Model was trained using data from SwiftKey and is from blogs, news, and tweets. The data is based in English.
The data can be found here: Data
The prediction application process begins with building corresponding n-grams from a sample of the data, and storing this data to save computational time. Using the N-gram data, we can predict the next word based on occurence frequency.
Links
The application can be found here:
The Github Repository and source code for the app can be found here:
Application Example
We’ve made a simple, easy to use interface for the user for testing our application.
See a screenshot of it below:
