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dimzachar avatar dimzachar commented on August 26, 2024

Summary:
In this video, the presenter discusses the use of the Evidently library for monitoring data drift and debugging. They explain how to create reports and use data drift and test suites/presets, excluding the target column, running data drift tests, and visualizing results. The video also covers how to analyze data drift using test suites and reports, and how to create a visual dashboard for data drift analysis in Python. The video concludes with a farewell and gratitude to viewers of the data course.

Key Takeaways:

  • The video is about the use of the Evidently library for monitoring data drift and debugging.
  • The presenter explains how to create reports and use data drift and test suites/presets, excluding the target column, running data drift tests, and visualizing results.
  • The video covers how to analyze data drift using test suites and reports.
  • The video explains how to create a visual dashboard for data drift analysis in Python.
  • The video concludes with a farewell and gratitude to viewers of the data course.

Timestamps:
0:00:00 - Debugging with Evidently library for monitoring.
0:03:07 - Create report and use data drift & test suites/presets
0:06:56 - Excluding Target column, running data drift test, visualizing results.
0:10:42 - Analyzing data drift using test suites and reports.
0:13:42 - Visual dashboard for data drift analysis in Python.
0:16:43 - Farewell and gratitude to viewers of data course.

from mlops-zoomcamp.

amitfrancis avatar amitfrancis commented on August 26, 2024

Updated timecodes. Thanks!

from mlops-zoomcamp.

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