Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/jarusified/course-finder
A private repo to work on the reasearch paper
https://github.com/jarusified/course-finder
Last synced: 5 days ago
JSON representation
A private repo to work on the reasearch paper
- Host: GitHub
- URL: https://github.com/jarusified/course-finder
- Owner: jarusified
- Created: 2015-05-22T14:06:26.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2015-06-10T08:38:31.000Z (over 9 years ago)
- Last Synced: 2024-04-19T15:25:08.021Z (7 months ago)
- Language: Python
- Size: 231 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Predicting sucess of movie.
## Requirements
* Install tmdb [tmdbsimple]( https://pypi.python.org/pypi/tmdbsimple )
* export TMDB_API="API_KEY"## Features
* Check features.txt.## Running
* Change movie name in the globals glb.py
* ```
python predictor/sample.py
```## Output
* Fetches ids of director,producer and actors in the movie.## To Do :
* Fetch movie budget,revenue of this movie.
* Fetch the average budgets,revenue,rating of previous movies by this director,producer,actor.
* Adjust all cost factors by including in inflation factor.
* Come up with more input Features.
* The more data ,the better the results.
* Form the input Feature Vector.
* The target Vector is the revenue,rating of a new movie .
* Create models and predict for new movies.