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A project analysing a database of 5000 IBDb movies obtained from Kaggle - Data Analysis, Python Coding, Power BI Dashboarding

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Dashboard Screenshot.png		Dashboard Screenshot.png
IMDb Report.pbix		IMDb Report.pbix
IMDb_Data_Analysis.ipynb		IMDb_Data_Analysis.ipynb
README.md		README.md

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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

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Files Included

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

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A project analysing a database of 5000 IBDb movies obtained from Kaggle - Data Analysis, Python Coding, Power BI Dashboarding

python machine-learning dashboard power-bi kpi powerbi kpis machinelearning-python dashboards-powerbi

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