anesriad/Regression_ML_EndtoEnd
regression_ml_endtoend
Machine learning End to End project from data collection to deployment and monitoring (Regression problem)
Builder
anesriad
anesriad • individual
Stars
195
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Forks
56
Using upstream fork count
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0
Activity Score
0/100
0 commits in 30d
Created
Aug 25, 2025
Project creation date
README Summary
Housing Regression MLE is an end-to-end machine learning pipeline for predicting housing prices using XGBoost. The project follows ML engineering best practices with modular pipelines, experiment tracking via MLflow, containerization, AWS cloud deployment, and comprehensive testing. The system includes both a REST API and a Streamlit dashboard for interactive predictions.
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Data Collection and PreprocessingEnd-to-End ML Pipeline DevelopmentML Model DeploymentML Monitoring and ObservabilityModel Lifecycle ManagementRegression Modeling
Tags
Data Collection and PreprocessingEnd-to-End ML Pipeline DevelopmentML Model DeploymentML Monitoring and ObservabilityModel Lifecycle ManagementRegression ModelingAI SafetyAPIAWSData EngineeringData ScienceDockerEvalsForkedMLflowMachine LearningNumPyPandasPythonPython Web FrameworkReal-Time / StreamingScikit-learn
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Recent Activity
Updated 8 months ago
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Quality
prototype- Quality
- medium
- Maturity
- prototype
Categories
Evals & BenchmarkingPrimaryObservability & MonitoringInference & ServingSafety & AlignmentData Science & AnalyticsOther AI / MLMLOps & InfrastructureDev Tools & AutomationCloud & PlatformsSecurity & Safety
PM Skills
Safety & AlignmentScale & ReliabilityData & EvaluationDeveloper Platform
Languages
Jupyter Notebook100.0%
Timeline
- Project created
- Aug 25, 2025
- Forked
- Mar 13, 2026
- Your last push
- 8 months ago
- Upstream last push
- 8 months ago
- Tracked since
- Sep 26, 2025
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