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SwiftKey Next Word Prediction Using N-Gram Language Models
This capstone project demonstrates a next-word prediction application developed using R and Shiny. It uses English text datasets from blogs, news, and Twitter to build bigram, trigram, and fourgram frequency models. The presentation covers data preprocessing, the prediction methodology, the interactive Shiny application, results, and future improvements.
MEDICAL APPOINTMENT SCHEDULING SYSTEM
MODELO ANALÍTICO - CONTEXTO Y OBJETIVOS
Document
Tugas 2 Universitas Terbuka
Resultados Estudio de Mercado
Resultados del estudio de mercado del proyecto "Colmena del Norte"
Workshop 4 Solution - Algorithms & Data Analysis
Workshop 4 Solution - Algorithms & Data Analysis
Alberto Dorantes, Ph.D.
Tec de Monterrey
