This project uses the IMDb dataset to predict the success of a movie based on factors such as ratings, genre, budget etc. The application of the project focusses mainly on the prediction helping the theatre owners/distributors to decide the terms of their deal such as the number of screens in which the movie must run and the amount/share that must be paid back to the distibutors. Insert link to video
The project was built on Google Colab using Jupyter Notebooks. Hence the code is in the ipynb format.
- Installation:
You can install ipynb with:pip install ipynb
- Importing a notebook
For a file named test.ipynb:import ipynb.fs.full.test
- If you have access to Jupyter Notebooks, simply downloading the add link to code file and opening it in Jupyter Notebooks would do