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This repository contains a Google Colab notebook and associated data files to perform regression analysis on YouTube video engagement metrics using features extracted from video thumbnails and metadata. It also utilizes SHAP (SHapley Additive exPlanations) to determine feature importance across different dependent variables.

  • Updated Feb 15, 2025
  • Jupyter Notebook

Explore the fascinating world of YouTube analytics with this repository! Dive into the data behind video trends, channel performance, and category insights. From time-to-trending analysis to the impact of tags on views, uncover valuable insights to understand what makes YouTube content go viral. Includes Jupyter Notebook code for data exploration.

  • Updated May 3, 2024
  • Jupyter Notebook

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