https://github.com/surajv311/analyze-box-office-data

Used Py libraries like numpy, pandas, scikit-learn to analyze movie box office data.
https://github.com/surajv311/analyze-box-office-data

Last synced: 7 months ago
JSON representation

Used Py libraries like numpy, pandas, scikit-learn to analyze movie box office data.

• Host: GitHub
• URL: https://github.com/surajv311/analyze-box-office-data
• Owner: Surajv311
• Created: 2020-06-10T16:46:37.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-13T03:18:22.000Z (about 5 years ago)
• Last Synced: 2025-01-21T00:28:23.476Z (9 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 4.35 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Analyze movie box office data 

### The following project uses using plotly and seaborn libraries in the project.


Before cloning and running the project ensure that you have the necessary libraries installed in your environment.


You may install:


```conda install plotly```


```conda install numpy ```


```conda install pandas ```


```conda install scikit-learn```


```conda install seaborn```


```conda install nltk```





The revenue , impact , dates of movies have been analysed throughout the project and 


how they are interlinked with other factors.




![img1](https://github.com/Surajv311/Analyze-box-office-data/blob/master/images/img3.jpg)

![img2](https://github.com/Surajv311/Analyze-box-office-data/blob/master/images/img.jpg)

![img3](https://github.com/Surajv311/Analyze-box-office-data/blob/master/images/img2.jpg)