Movie Success Prediction Model

Analyzing the factors that drive movie success using machine learning and data-driven insights.

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About the Project

This project explores how various factors contribute to a movie's success. By analyzing features like budget, revenue, and genres, we aim to build predictive machine learning models that can accurately forecast box office performance in the form of revenue.

Key Features

• Data preprocessing, including cleaning, transformation, and dimensionality reduction
• Machine learning models for predicting box office revenue and critical reception
• Feature analysis and visualization to understand key contributors to movie success