Web scraping and linear regressions on movie box office data
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Updated
Mar 14, 2015 - Python
Web scraping and linear regressions on movie box office data
A neat offline webpage to sort all your movies.
Explore Disney movie data, then build a linear regression model to predict box office success.
This repository contains the files to be used for scraping the web. Especially, it scrapes the box office mojo from 2017 to 2019.
A movie and series searcher application using React and The Movie Database api
Box Office App made in react where you can search for shows and actors comes with 2 themes - Dark Mode & Light Mode. You can star your favorite shows for future. You can also download the app on your desktop or mobile.
🎥 The project was developed within the scope of the Machine Learning course, with the aim of predicting revenue at the box office by implementing several machine learning models, including linear regression, Random Forest regression, XGBoost and SVM Support Vector Machine.
Starter repo for an event or venue selling tickets with Mighty Tix
BracketBox - All the movie data you could need
Data visualization for china box-office.
This is a pandas test for a data science job. The solution here is in form of a notebook beside the main Python file.
Summer Movie Wager historical dataset
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