This repository contains the Jupyter Notebook and an informal paper submitted as part of my masters coursework:
"Predicting how users with different lifestyle category interests will interact with off-plan multi-lingual Real Estate Video Ads in the GCC on Snapchat"
ipynb file: Jupyter Notebook with data analysis and predictive modeling.pdf file: Informal paper detailing the study and findings.
The project explores how users with various lifestyle interests engage with off-plan, multi-lingual real estate video advertisements on Snapchat within the Gulf Cooperation Council (GCC) region. The goal is to predict user interaction based on lifestyle categories and language preferences.
Feel free to explore the notebook and paper for detailed insights.