https://github.com/niteshchawla/netflix-case-study

Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries
https://github.com/niteshchawla/netflix-case-study

matplotlib numpy pandas python seaborn

Last synced: 8 days ago
JSON representation

Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries

• Host: GitHub
• URL: https://github.com/niteshchawla/netflix-case-study
• Owner: Niteshchawla
• Created: 2024-06-27T16:53:39.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-06-27T17:08:46.000Z (5 months ago)
• Last Synced: 2024-06-27T20:24:57.873Z (5 months ago)
• Topics: matplotlib, numpy, pandas, python, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 2.52 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Netflix-Case-Study

About NETFLIX

Netflix is one of the most popular media and video streaming platforms. They have over 10000 movies or tv shows available on their platform, as of mid-2021, they have over 222M Subscribers globally. This tabular dataset consists of listings of all the movies and tv shows available on Netflix, along with details such as - cast, directors, ratings, release year, duration, etc.

Business Problem

Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries