Predicting the IMDB rating by using EDA and machine learning Algorithms

Author:

Dixit Prayas1,Hussain Shahzeb1,Singh Gaurav1

Affiliation:

1. Infosys Limited, Pune, Maharashtra, India

Abstract

<p>The film industry is not only the center of Entertainment but also a huge source of employment and business. Well, famous actors and directors can ensure the publicity of a movie but can’t promise a good IMDB score. We have collected the data available online about these Hollywood movies and their IMDB ratings to create our dataset. After getting the dataset we have incorporated various exploratory analysis techniques and then applied various machine learning algorithms to predict the IMDB rating. Finally, identified the best-fit algorithm which gives the most accurate prediction.</p>

Publisher

Technoscience Academy

Subject

General Medicine

Reference7 articles.

1. M. H. Latif and H. Afzal, “Prediction of movies popularity using machine learning techniques,” International Journal of Computer Science and Network Security (IJCSNS), vol. 16, no. 8, p. 127, 2016.

2. Javaria Ahmad, Prakash Duraisamy, Amr Yousef, Bill Buckles, "movie success prediction using data mining" July 2017

3. Ajay Siva, Santosh Reddy, Pratik Kasat, Box-Office Opening Prediction of Movies based on Hype Analysis through Data Mining in International Journal of Computer Applications, Foundation of Computer Science, New York, USA, vol.56, no. 1, October 2012.

4. Nithin VR, Pranav, Sarath Babu PB, Lijiya A" Predicting Movie Success Based on IMDb Data", October 2017

5. Anantharaman V, Ebin G.Job, Neha Sam, Asst. Prof. Sheryl Maria Sebastian, “Movie Success Prediction Using Data Mining” Global Research and Development Journal for Engineering.

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