By Cameryn Rhosyn
This project is part of my curriculum as I progress through Flatiron School's Data Science program. Information on this program can be found at: https://flatironschool.com/career-courses/data-science-bootcamp.
--Project Status: Active
The purpose of this project is to suggest a strategy for making the foray into movie production for the Microsoft Corporation based on data pulled from IMDB and scraped from various sources across the internet.
Information needed from this exploration includes:
- What genres of movies do best in theaters?
- What directors create the highest grossing movies?
- How much return is expected on production costs?
- Data Cleaning
- SQL Querying
- Data Visualization
- Python
- SQLite
- Pandas, Jupyter
- HTML
- BeautifulSoup
- Google Slides
- IMDb Data
- Rotten Tomatoes Data
- Box Office Mojo Data
- TMDb Data
- Tickemaster Data
This project's intent is to provide a plan for how Microsoft can make the jump into producing movies. It outlines the financial expectations, personnel considerations, as well as content considerations that will bring the most success to this venture.
| Name | GitHub |
|---|---|
| Cameryn Rhosyn | https://github.com/camrhosyn |
- If you have any questions, you can contact me at [email protected]