Predictive modeling for early success forecasting of movies using Video-On-Demand streaming data, featuring Gradient Boosting Machines and advanced feature engineering techniques.
Power BI dashboard analyzing 3.4K+ web series (2000–2024) across 42 countries, 96 industries, and 70M+ votes.
This repository provides a comprehensive Exploratory Data Analysis (EDA) of entertainment content, revealing trends in relation to audience preferences, production locations, release patterns and content duration.
Comprehensive SQL analysis of Netflix content library with 15 advanced queries exploring movies vs TV shows, ratings, genres, directors, actors, and regional content distribution.
Machine learning pipeline for predicting movie box office success. Includes web scraping, data pipelines, feature engineering, ML models, MLflow tracking, and a web interface for predictions.
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