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https://github.com/apavazza/linux-distros
Popularity analysis of Linux distributions
https://github.com/apavazza/linux-distros
arima autocorrelation data-science jupyter k-means-clustering linear-regression pca python random-forest-regression sarimax scikit-learn statistical-analysis statistical-models statistics time-series
Last synced: 18 days ago
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Popularity analysis of Linux distributions
- Host: GitHub
- URL: https://github.com/apavazza/linux-distros
- Owner: apavazza
- License: mit
- Created: 2025-01-05T11:05:09.000Z (29 days ago)
- Default Branch: master
- Last Pushed: 2025-01-16T19:56:21.000Z (18 days ago)
- Last Synced: 2025-01-16T20:53:58.943Z (18 days ago)
- Topics: arima, autocorrelation, data-science, jupyter, k-means-clustering, linear-regression, pca, python, random-forest-regression, sarimax, scikit-learn, statistical-analysis, statistical-models, statistics, time-series
- Language: Jupyter Notebook
- Homepage:
- Size: 3.88 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
![Python](https://img.shields.io/badge/Python-14354C?style=for-the-badge&logo=python&logoColor=white)
![Jupyter](https://img.shields.io/badge/Jupyter-gray?style=for-the-badge&logo=Jupyter)
![scikit-learn](https://img.shields.io/badge/scikit--learn-%23F7931E.svg?style=for-the-badge&logo=scikit-learn&logoColor=white)# Popularity analysis of Linux distributions
[Jupyter notebook](linux_distros.ipynb)
Models and methods used:
- Linear Regression
- ARIMA
- Autocorrelation
- SARIMAX
- K-Means Clustering
- Principal Component Analysis
- Random Forest Regression