Cyclistic bike-share analysis case study

This presentation showcases a Shiny app that predicts the next word in a user-entered phrase using a probabilistic n-gram model. It highlights the problem of slow typing and the need for word suggestions, explains the algorithm behind the predictions, demonstrates the app with a screenshot, and concludes with the user experience and potential applications in AI writing assistants and productivity tools.

Core Framework Annex | Structural, Metadata & Visual Governance

Rol Estratégico, Distribución y Lógica de Monetización

milestrone-report-html

Here we use ProSpect to generate the EBL with a model for the SFH and ZH.