https://github.com/mirokeimioniemi/classifying-software-pirates
Exploring the factors driving people into software piracy by training two machine learning models to predict whether a person with certain characteristics and sentiments is likely to possess any pirated software or not using a dataset collected via a survey targeting users of music production software.
https://github.com/mirokeimioniemi/classifying-software-pirates
data-analysis data-science decision-tree-classifier logistic-regression machine-learning piracy python software-piracy survey
Last synced: 9 months ago
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Exploring the factors driving people into software piracy by training two machine learning models to predict whether a person with certain characteristics and sentiments is likely to possess any pirated software or not using a dataset collected via a survey targeting users of music production software.
- Host: GitHub
- URL: https://github.com/mirokeimioniemi/classifying-software-pirates
- Owner: MiroKeimioniemi
- Created: 2023-10-12T11:24:16.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-19T16:28:58.000Z (almost 2 years ago)
- Last Synced: 2025-01-10T21:23:20.881Z (10 months ago)
- Topics: data-analysis, data-science, decision-tree-classifier, logistic-regression, machine-learning, piracy, python, software-piracy, survey
- Language: Jupyter Notebook
- Homepage: https://mirokeimioniemi.com/portfolio/writing/the-pricing-of-digital-goods-in-the-music-production-software-industry.html
- Size: 2.18 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: