This project utilizes event-based regression modeling to quantify how specific calendar events, such as paydays and holiday closures, drive daily customer traffic patterns at a bank branch.

Public Attitudes towards the Liberal Script (PALS) - A 26-country comparative survey measuring acceptance of liberal democratic values across diverse global contexts.

The model predicts the most likely next word and is deployed through a Shiny web application for real-time use.

Portfolio baptiste lashermes

CV Baptiste Lashermes

This project demonstrates a **Next Word Prediction** model built using text data from blogs, news, and Twitter (SwiftKey dataset)

This project is the final data product for the Coursera Data Science Capstone. The goal is to build a Next Word Prediction model using text data from blogs, news, and Twitter. A Shiny web application was developed to demonstrate the model in real time.

Sample test document (no real data)