ABSTRACT
This chapter contains implementations for two projects, a recommendations system, and a next-word prediction model.
Often there are multiple solution options for solving a single problem. This chapter compares decision-making across different options for a content recommendation system for which YouTube data is used.
Furthermore, a next-word prediction model is built using deep learning to predict the next N words in a sentence, aiding in faster documentation processes at companies by the means of an auto-complete option. This project is implemented using an external dataset, showcasing scenarios where there might be an absence of owned first-party data.
Each project is described from relevance to a company's key performance indicators (KPIs) perspective.
