In this machine learning project, we need to build up a mathematical model for predicting the success class, for example, flop, hit, the super hit of the films. For doing this we need to build up a system in which the historical data of each component such as actor, actress, director, music that influences the success or failure of a movie is given. Then depend on different edges determined based on the basis of descriptive statistics of a dataset of each component will give flop, hit, super hit label. So, in this article, we are going to explore how to implement Movie success prediction using data mining. I hope you’re excited to see and learn the process of making the project. So, without any further delay, let get started!
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Data mining: Data mining is likewise called Knowledge discovery, Knowledge extraction, data/pattern analysis, data gathering, and so on.
Data mining is used to find unseen, valid and useful patterns in huge data sets.
The strategy manages various phases of the undertaking which comprises data collection, data preprocessing, generating training and testing dataset, model generation, prediction, and outcomes. These all strategies keep us from getting any superfluous information which further keeps our results increasingly applicable and precise for the forecast.
Database: Any Database to store the data set.
PHP: The PHP Hypertext Preprocessor (PHP) is a programming language that permits web designers to make a dynamic substance that collaborates with databases. PHP is fundamentally utilized for creating web-based applications.
Steps to achieve a movie success prediction using data mining are:
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-Programming language -PHP, any database
- Notepad++ or Netbeans IDE
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