YouTube Video Success Prediction Model

Developed a machine learning classification model to predict whether a YouTube video will be successful based on engagement metrics such as views, likes, comments, and upload timing.

Performed data preprocessing, feature selection, and model evaluation to improve accuracy.

Tools used: Python, Pandas, Scikit-learn.