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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

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![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