The main goal of this project is to make comparison between different learning algorithms. The chosen algorithms were Boosting and Deep Learning. Films information dataset was downloaded from movie box office prediction Kaggle challenge. Features enrichment have been done on the mentioned dataset, most of them are simple mathematical and programmable, in order to get more features over the data which can be easy manipulated.