A research submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, School of Engineering and Technology

Research studies project report (M. Sc.) - Asian Institute of Technology, 2017

As we know that many thousands of movies were releasing in the every year, to make a movie more budget is required and it costs a bomb about million dollars for completing a movie. To make the movie success is important to industry as they spend a lot of money in making of the {uFB01}lm. So in order to reduce this problem the movie rating prediction can help us many people to select which type of the movie will become success and what the factors included in the movie. The aim is to predict the Imdb movie ratings with the pre-release attributes which includes castandcrew. Beyond many techniques only few are considered and implemented in this research study. With the available attributes the rating can be predicted by available techniques, the techniques which we are used are k-nearest neighbor, linear regression and arti{uFB01}cia lneural net. So after {uFB01}nding the accuracy of each and every model, the model with the highest accuracy can be taken for {uFB01}nal prediction.