Netflix Project

Project description

The project analyzes Netflix data (from Kaggle) and creates an interactive website with visualizations and movie recommendations.

Project objectives

• Data exploration and cleaning (dates, gaps, genres, countries).
• Exploratory data analysis (EDA) with attractive graphics:
  • distribution of films and TV series
  • top genres
  • dynamics by year
  • distribution by country
• Creating a content-based recommender (TF-IDF) to search for similar films.
• An interactive mini-site via Streamlit, where you can enter a film title and receive recommendations.

Technologies and libraries

• Python: pandas, numpy
• Visualization: matplotlib, seaborn
• Machine learning: scikit-learn (TF-IDF, cosine similarity)
• Web interface: Streamlit

How to launch the project

• Clone the repository: git clone https://github.com/TsivataKateryna/netflix-project.git

• Install dependencies: pip install -r requirements.txt (more information coming soon)

Resources

• Netflix Movies and TV Shows Dataset (Kaggle) (more information coming soon)