Movie revenue prediction and movie recommendation system
>Git repo
Movie industry is always looking for ways to maximize revenue from movies.
To facilitate production companies we build a revenue prediction tool. We also build a classification tool to predict if a movie will make profit or loss. Along with predicted revenue and classification for movie success, we also built a recommendation engine to help consumers in movie industry to navigate through available movies
without hassle. With the help of the recommendation engine, the consumers will have a better experience out from a large collection of movies.
This project has two parts. The first part is about predicting movie revenue and classifying movies into a success or a bust. Τhe second part is about building regular and streaming movie recommendation systems.
Comparison of parallel and sequential implementation of different sorting algorithms
>Git repo
We implemented 4 different sorting algorithms in sequential and parallel form. We chose the sorting algorithms based on popularity. Then, we compared the performance.