This project analyzes the IMDb Top 1000 movies dataset using Python (Pandas + Seaborn).
The goal is to uncover insights and visualize trends in movie ratings, genres, and other key attributes.
- Drama is the most common movie genre.
- Sci-Fi movies have the highest average IMDb rating.
- Dataset exploration highlights trends in runtime, gross earnings, and votes.
- Python 3
- Pandas (data cleaning & manipulation)
- Seaborn / Matplotlib (visualizations)
- Jupyter Notebook / VS Code
- Machine Learning
- Clone this repository: git clone https://github.com/HabibFaisal-py/IMDB-Analysis.git