testdoc

This report presents an exploratory analysis of the SwiftKey English text data sets (blogs, news, and Twitter) as part of the Coursera Data Science Capstone project. It includes key summary statistics, visualizations of the most frequent words, and outlines the plan for building a natural language processing model to predict the next word based on user input. The final product will be an interactive Shiny app that demonstrates the word prediction capabilities of the model. The report is written to be accessible to both technical and non-technical audiences.

Pronóstico de series de tiempo