In this hands-on MLOps project, we will walk you through how to detect data drift in a machine learning model using Alibi Detect and automatically retrain the model using Apache Airflow.
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Jul 17, 2025 - Python
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alibi-detect
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Testing MLServer and Alibi
sklearn xgboost outlier-detection pyro model-deployment interpretable-machine-learning mlops drift-detection alibi mlops-workflow mlserver mlops-project alibi-detect alibi-explain
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Mar 8, 2025 - Jupyter Notebook
Based on Linkedin Learning Course : MLOps Essentials: Monitoring Model Drift and Bias 2023
python machine-learning fairness bias-detection mlops drift-detection model-monitoring alibi-detect sklego
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May 11, 2026 - Jupyter Notebook
End-to-end machine learning framework that bridges data engineering, predictive modeling, and healthcare analytics toward data-driven decision-making.
snowflake statistical-analysis xgboost decision-trees scoring-functions model-building drift-detection pickle-file scheduled-notebook alibi-detect aws-sagemaker-studio retraining-model
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May 16, 2025 - Jupyter Notebook
FastRide: NYC Taxi Trip Duration Prediction employs machine learning techniques to accurately predict the duration of taxi trips in New York City, helping transportation businesses optimize operations and enhance customer satisfaction.
numpy scikit-learn pandas seaborn pytest xgboost matplotlib yellowbrick streamlit weights-and-biases great-expectations hopsworks alibi-detect
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Sep 22, 2023 - Jupyter Notebook
Deep learning-driven cache eviction policy using LSTM forecasting and uncertainty estimation, deployed as a production microservice with a full MLOps pipeline.
kubernetes microservices deep-learning docker-compose pytest canary-deployment locust google-cloud-platform sequence-prediction dvc mlops mlflow github-actions fastapi prometheus-grafana-alertmanager great-expectations cache-eviction-policy deepchecks better-uptime alibi-detect
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Apr 19, 2026 - Python
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