YouTube Supervised Learning

Predicting YouTube video views using regression models with data analysis and preprocessing on the YouTube Statistics dataset. Involves feature engineering, model selection (Linear Regression, Random Forest), and evaluation using RMSE and R2 metrics to ensure prediction accuracy.