The aim of this project was to see if it is possible to predict the gross of a movie given a dataset. The dataset was retireved from Kaggle link: https://www.kaggle.com/deepmatrix/imdb-5000-movie-dataset . The dataset contained over 5000 records scraped from the IMDB website. Features included cast members, director, budget, gross and numerous other features. The aim of the project was to try and predict the gross of each movie using various machine learning alogrithms. The report document is also included that display technique and results.
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