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To Analyze STC TV user behavior and provide insights to enhance customer experience 3 tasks: 1. Classify and analyze viewers based on program class (movie/series) and determine SD/HD preferences 2. Build a predictive model for expected views and peak times in the next two months 3. Implement a recommendation system based on user preferences

STC TV dataset analysis project completed as part of the Misk Academy program using Python and Jupyter Notebook.

The work involves utilizing statistical analysis tools to extract insights from large datasets and enable data-driven decision-making. Additionally, machine learning algorithms will be applied to predict future viewership for STC TV and develop a personalized recommendation system to enhance user engagement and satisfaction.