data-drift-detection

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data-drift-detection

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Dashboard for Data Drift Detection in Python with Evidently and Mercury

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# Data Drift Detection

**Change is the only constant in life** - *Heraclitus*

Let's monitor the data drift! We will use [Evidently](https://github.com/evidentlyai) package for this - you can monitor and detect data drifts in 3 lines of Python code! 🐍

Below you can find two example dashboards for drift monitoring and detection, one for classification, and one for regression task.

The Evidently can build performance dashboards for ML models, below dashboard for Random Forest regressor built on Bike Sharing dataset. Enjoy! 😊

## Links 🖇️

- Web Application [data-drift-detection.herokuapp.com](https://data-drift-detection.herokuapp.com/)
- Code repository at GitHub [pplonski/data-drift-detection](https://github.com/pplonski/data-drift-detection)
- Article about [data drift detection in Python](https://mljar.com/blog/data-drift-detection-python)
- Mercury framework at GitHub [mljar/mercury](https://github.com/mljar/mercury)

## Dashboards 📊

![](https://github.com/pplonski/data-drift-detection/raw/main/media/data-drift-demo.gif)

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