ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
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ML Model Monitoring Dashboard (Streamlit + Evidently AI + Pycaret) #1124
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:
Detect issues early: By continuously monitoring model performance, we can identify any deviations from the expected behaviour and address them promptly.
Maintain data quality: Ensuring the quality of the data used for predictions is critical to obtaining reliable results.
Understand data drift: Identifying data drift allows us to adapt our models to changing data patterns.
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:
Can I add this project to the suite?