The data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue.
We clean, refine, analyse the db, and generate visualisations, to answer a few questions such as below:
- How has the profitability of movies changed over the years?
- How is the rating on a movie correlated to it's revenue?
- Jupyter Notebooks
- Python
- Numpy
- Pandas
- Matplotlib
Refer to Investigate TMDB Movie Database.html for the final approved project report.
This was done as a part of Udacity's Machine Learning Foundation nanodegree completed by me at July 2018. View my certificate at https://confirm.udacity.com/UK6PK2ZP