/Maximizing-Medium-Claps

Using regression to predict claps on a year of Medium articles

Primary LanguageJupyter Notebook

Maximizing Medium Claps

Uncovering strategies for effective content writing on Medium

In this project, I wanted to use data analysis to discover how content and formatting decisions impact a Medium article's claps, with the goal of using these insights to help me maximize claps on my own articles. To this end I scraped a year of data science articles from Medium, parsed those articles for features, and developed several regression models to predict claps. Check out my project writeup here.

Code

  • Step 1: Scraping the data
  • Step 2: Data processing and feature engineering
  • Step 3: Building a regression model
  • Step 4: Interpreting the model
  • Step 5: Visualizing the data and results

Some results


More results available here.

Takeaways

  • Publish with a publication!
  • Publish with Towards Data Science or Analytics Vidhya
  • Use bolding and italics frequently (when appropriate)
  • Long texts are okay!
  • Use pictures often in your articles
  • Use all five article tags
  • Avoid using numbers in your titles

Thanks to Harrison Jansma for inspiring this project!