This is a program for predicting the financial success of a movie.
imdb_project/movie_classifier.ipynb is the python notebook.
Relevant comments can be found in the code. The code is split in 2 parts:
- Data cleanup, wranging and Exploratory analysis: Faulty data points are cleared Corner data points are removed for better model fitting General trends are observed in the data to help make better predicrions.
- Model training and model testing: Scikit learn is used. Various models are tested and their accuracy score is compared.
Code written by Milind Kulkarni, using open source python libraries.