Modelado de distribución de probabilidad discreta y continua.Evaluación_práctica Modulo:Probabilidad

Psicóloga, Coordebadora, RT< e agora gestora certificada pelo tcu

Autores: Yuriana Villegas(2438082), Yoseth Marin(2420827), Santiago Adarve(2340868) y Santiago Dominguez(2416770)

Assignment_3

This project analyzes housing data using R to identify important factors affecting house prices through data cleaning, visualization, and linear regression modeling.

This project focuses on the exploratory analysis and development of a Context-Aware Next-Word Prediction Engine using Natural Language Processing (NLP) techniques in R. The report analyzes large-scale text datasets to understand word distributions, linguistic relationships, and contextual patterns using unigram, bigram, and trigram models. Interactive tables and visualizations were created to explore the structure of the datasets and identify important language trends. A statistical back-off prediction strategy was designed to improve next-word prediction accuracy while maintaining efficient runtime and memory usage for future Shiny application deployment. Tools and Technologies Used: * R Programming * R Markdown * Plotly * DT Package * NLP Concepts * N-Gram Language Modeling The project demonstrates the foundational steps required for building a scalable predictive text application suitable for real-time user interaction.