Updated 3 years ago
1. Data Understanding and Project Proposal (to top)
https://jovian.ai/lilanpei/data-understanding-and-project-proposal
Although We have already performed extensive analysis of our data and haven't done a lot with respect to determining factors that make a movie a success. We all know how the economic return a producer can get from a film is important. So what factors influence whether a movie will be able to recoup its investments? To answer this question, we shall attempt to build :
- A Regressor that can, to a certain degree, predict the economic return of a particular movie starting from its characteristics.
- A Classifier that identifies if a movie will be a hit or will make the producers lose money.
2. Models Implementation and Evaluation (to top)
Regarding the suggestion of model implementation, we dropped the features ('popularity', 'vote_average', 'vote_count') that are still not available before a movie is released. Then, we redid the features engineering, data preprocessing and retrained all the models for regression and classification tasks.