Skip to content

HabibFaial-py/IMDB-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

ย 

History

4 Commits
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 

Repository files navigation

๐ŸŽฌ IMDb Top 1000 Movies Analysis

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.


๐Ÿ“Š Key Insights

  • 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.

๐Ÿ› ๏ธ Tech Stack

  • Python 3
  • Pandas (data cleaning & manipulation)
  • Seaborn / Matplotlib (visualizations)
  • Jupyter Notebook / VS Code
  • Machine Learning

๐Ÿš€ Installation & Setup

  1. Clone this repository: git clone https://github.com/HabibFaisal-py/IMDB-Analysis.git

About

Data analysis and visualization of IMDB Top 1000 movies using Python, Pandas, Matplotlib, Seaborn, and Scikit-learn

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages