https://github.com/kmohamedalie/facebook-metrics-regression

Predicting total interaction on a post
https://github.com/kmohamedalie/facebook-metrics-regression

facebook regression uci-machine-learning

Last synced: 8 months ago
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Predicting total interaction on a post

• Host: GitHub
• URL: https://github.com/kmohamedalie/facebook-metrics-regression
• Owner: Kmohamedalie
• License: mit
• Created: 2023-08-14T12:38:39.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2023-08-22T14:13:01.000Z (about 2 years ago)
• Last Synced: 2025-01-02T15:32:04.009Z (9 months ago)
• Topics: facebook, regression, uci-machine-learning
• Language: Jupyter Notebook
• Homepage: https://github.com/Kmohamedalie/Facebook-Metrics-Regression/tree/master
• Size: 212 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Performance metrics of a renowned cosmetic's brand Facebook page.

![facebook png](https://github.com/Kmohamedalie/Facebook-Metrics/assets/63104472/e2faef04-ac31-4645-b613-5c7d9537dc39)

**Dataset:** [UCI machine learning](https://archive.ics.uci.edu/dataset/368/facebook+metrics)

**Complete JupyterNotebook:** [Link](https://github.com/Kmohamedalie/Facebook-Metrics/tree/master/Notebooks)

**Packages used:** [statsmodels](https://www.statsmodels.org/stable/index.html),   [sklearn](https://scikit-learn.org/stable/)

**Metrics:** 

| Algorithm         |    MAE    |     MSE       |     RMSE   |    R2     |

|------------------ |-----------|---------------|------------|-----------|

| Linear Regression | 3.911574e-13 |	2.601279e-25	| 5.100273e-13 |	1.0 |

## Additional Information

The data is related to posts' published during the year of 2014 on the Facebook's page of a renowned cosmetics brand.

This dataset contains 500 of the 790 rows and part of the features analyzed by Moro et al. (2016). The remaining were omitted due to confidentiality issues.