ML Model Monitoring Dashboard (Streamlit + Evidently AI + Pycaret)

[chakka-guna-sekhar-venkata-chennaiah]

It's important to understand why real-time model monitoring is essential. In the real world, machine learning models are deployed to make predictions, often in real-time. However, these models can degrade over time due to various factors such as changes in data distribution, concept drift, or data quality issues.

Real-time model monitoring is crucial because it helps us:

1. Detect issues early: By continuously monitoring model performance, we can identify any deviations from the expected
   behaviour and address them promptly.

2. Maintain data quality: Ensuring the quality of the data used for predictions is critical to obtaining reliable results.

3. Understand data drift: Identifying data drift allows us to adapt our models to changing data patterns.

Can I add this project to the suite?

@UppuluriKalyani @Neilblaze @SaiNivedh26

[github-actions]

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