Algoritma Alumni Profile
Rakadipta Septian Dwiputra
Project Description:
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
Project Description:
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
IMDb rating data analysis to identify the factors affecting movie popularity from various variables. Also, clustering analysis is applied to differentiate a profitable movie from the less profitable one. This project is directed to those who are in the creative industry.
