To help Tasty Bytes increase engagement, I built a machine learning pipeline that predicts which recipes will drive the most homepage traffic.

After cleaning and validating the data, I ran exploratory analysis to uncover trends, then trained and optimized two classification models — Logistic Regression and KNN.

The final model exceeded our 80% accuracy goal, and the insights translated into actionable strategies to grow subscriptions.

📒 Check out the full notebook here to dive into the code and analysis.

💻Check out my full Datacamp portfolio to see more projects and courses I’ve completed using Python, SQL, and more!