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
This repository contains the files to be used for scraping the web. Especially, it scrapes the box office mojo from 2017 to 2019.
A neat offline webpage to sort all your movies.
K-drama hit prediction framework. H-Score: A quantitative framework for predicting K-Drama success using 6-axis metrics (cast power, creator power, IP strength, platform strategy, pre-buzz, market fit)
This project predicts the opening week box office performance of Avatar: Fire and Ash (2025) by analyzing historical data from Box Office Mojo and TMDb. It utilizes a CatBoost Regressor optimized with Optuna, featuring custom "Star Power" metrics and automated data collection.
This is a pandas test for a data science job. The solution here is in form of a notebook beside the main Python file.
🏆 Box Office API — Box office hits, film populer dari berbagai negara | CUTAD Streaming API (Rp 9.000/minggu)
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