Predicting Article Shares Within The Digital Marketing Industry

DSI-9 Capstone Project: A Machine Learning Regression Model For Digital Marketers

This project was completed during my time at the General Assembly Data Science Immersive course in London.

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Files in this repository:

• Capstone.html - Capstone Report and Model Outputs - This is the best way to view it.
• Capstone.ipynb - Capstone Report and Model Outputs - Uses Github's preview for Jupyter Notebook.
• Capstone-presentation.pdf - An overview presentation which was prepared to educate a non-technical audience about the project, the results and any recommendations. This presentation has speaking notes and also animations so if viewing I would recommend either downloading:
  • The Google Slides version.
  • The Microsoft PowerPoint version.

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Other interesting scripts:

1. Created a multi-threaded web scraper using Python libraries such as: from concurrent.futures import ThreadPoolExecutor
2. Created custom sci-kit learn custom classes for smoothly executing pipelines that included numerical and text data.
3. Utilised a Google Page Speed Insights API python script to collect web page speed data for 15,000 articles.