Ram Maheshwari Logo Image
Bharath Kumar

Online Article Popularity Prediction

Built ML models predicting online article popularity with 73.3% accuracy, identifying articles likely to surpass 25,000 shares.

Project Image

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.

Topics Covered

Logistic Regression
AUC Metric
Neural Network
Random Forest
ROC Curve
IBM SPSS Modeler