Predicting the IMDB rating by using EDA and machine learning Algorithms
DOI:
https://doi.org/10.32628/CSEIT206481Keywords:
Exploratory Data, Regression, Regression, Multiclass Classification.Abstract
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.
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Published
2020-08-30
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Research Articles
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Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
[1]
Prayas Dixit, Shahzeb Hussain, Gaurav Singh, "
Predicting the IMDB rating by using EDA and machine learning Algorithms" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307,
Volume 6, Issue 4, pp.441-446, July-August-2020. Available at doi : https://doi.org/10.32628/CSEIT206481