IMDb Data Analysis with Python & Power BI

This project analyzes IMDb’s top 5000 movies using Python for data analysis and modeling, and Power BI for interactive visualizations.

Key Highlights

• Built a Power BI dashboard with filters for year, runtime, and creators
• Conducted regression and classification to predict ratings
• Analyzed genre performance, trends over time, and vote distribution

Tools Used

• Python (pandas, sklearn, seaborn)
• Power BI
• Kaggle IMDb Dataset - https://www.kaggle.com/datasets/tiagoadrianunes/imdb-top-5000-movies

Report Preview

Files Included

• IMDb Report.pbix – Power BI dashboard
• IMDb_Data_Analysis.ipynb – Python notebook
• Dashboard Screenshot.png – Dashboard image