📊 Netflix Data Analysis — Python Project As a final-year Computer Science student, I built this project to explore and analyze Netflix content using real-world data. The goal was to identify trends in Movies and TV Shows across different regions, genres, and years. 📁 Dataset Source This dataset is publicly available on Kaggle → Netflix Movies and TV Shows Dataset 🔍 Project Objectives Analyze the split between Movies vs TV Shows Identify Top countries producing Netflix content Explore Content growth over the years Study Genre and rating distributions
| Category | Tech |
|---|---|
| Programming | Python |
| Libraries | Pandas, NumPy, Matplotlib, Seaborn |
| Version Control | Git & GitHub |
📈 Visual Insights Some key visualizations included: 🍿 Movies vs TV Shows distribution 🌍 Top 10 Countries with highest content 📆 Year-wise content growth 🎭 Most frequent genres 🔖 Audience Rating categories (Full visuals shown inside Jupyter Notebook)
| File | Description |
|---|---|
Netflix_Data_Analysis.ipynb |
Jupyter Notebook with all code + visuals |
netflix_titles.xlsx |
Original dataset |
visuals/ |
Folder containing visualization images (optional) |
✅ Future Improvements Power BI dashboard for interactive insights Deployment on a portfolio website Including ML-based content recommendations
Linkedin: www.linkedin.com/in/mounasree-akula-a6ba25296
⭐ Give this repo a star! It motivates me to do more amazing projects 😄✨