Online Article Popularity Prediction

Project Overview

Predicted the popularity of online articles using machine learning models like logistic regression and neural networks to analyze key performance indicators, achieving a 73.3% accuracy.

This project combined statistical analysis with practical application in identifying articles likely to garner over 25,000 shares, showcasing the ability to derive actionable insights from complex datasets.