Detect Data Drift Using Evidently | Machine Learning | Data Science

Data drift is unexpected and undocumented changes to data structure, semantics, and infrastructure that is a result of modern data architectures. Data drift breaks processes and corrupts data, but can also reveal new opportunities for data use.

Evidently can be used for Detecting Datdrift on numerical as well as categorical features and reports can be exported in HTML or JSON format.

Notebook Link : https://github.com/karndeepsingh/model_analysis_evidently
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DetectDriftUsing