imdb project report.docx - Film industry has been expanded...

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Film industry has been expanded worldwide and now-a-days people, wherever on earth, haveanopportunity towatch amovie on the veryfirst dayitisreleased. Thereisa hugesectorbehind the preparation phases of each film and lots of directors and movie stars have burst.Consistently every year hundreds of movies are being produced. These film shave different orvarious types of genres, varying from comedy to romance or war to science fiction. In order tomonitorand keep a trackofeverymovieproduced,anonlineplatformwas verymuchneeded. InternetMovieDatabase(IMDB)isthemost well-known anda popularplatformto get information about a rich collection of movies. IMDB web site contains downloadableraw data about the movies, including data like cast, directors, genres, crew, scriptwriters,summaries, gross and even user ratings. This information is used for data mining on the filmsfor making prediction on user ratings of the movies. Acommercialsuccess film notonlyentertains it’s audience orviewers,butalso facilitates movie companiestogaintremendousprofit. Atonof factors forinstance gooddirectors, experienced actors are considerable formaking good movies. However, famous directors and actors can always bring an expected box-office income but cannot ensure a highly rated imdb score.In this project, the IMDB dataset is used to predict what are the important factors that make amovie more successful than others using Data mining techniques such as Decision tree & K-NN. IMDB scores are taken as response variable and focus on operating predictions byanalysing the other variablesintheIMDB5000moviedata.Theresultscanhelp moviecompaniesto understand the secret of generating a commercial success movie.There are different stages1)Data exploration2)Data cleaning3)Data visualization4)Data pre-processing5)Implementing algorithms6)Calculate & compare accuracy values

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Term
Spring
Professor
N/A
Tags
Internet Movie Database, IMDB

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