Library/regression_ml_endtoendForked

anesriad/Regression_ML_EndtoEnd

regression_ml_endtoend

Machine learning End to End project from data collection to deployment and monitoring (Regression problem)

View on GitHub↗Upstream anesriad/Regression_ML_EndtoEnd↗

Builder

anesriad

anesriad • individual

Stars

162

Using upstream star count

Forks

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Aug 25, 2025

Project creation date

README Summary

This repository demonstrates an end-to-end machine learning pipeline for regression problems, covering the complete workflow from data collection through model deployment and monitoring. It serves as an educational resource and template for ML practitioners learning to build production-ready regression systems.

AI Dev Skills

Unmapped

End-to-End ML Pipeline DevelopmentRegression ModelingML Model DeploymentML Monitoring and ObservabilityData Collection and PreprocessingModel Lifecycle Management

Taxonomy

AI Trends

MLOps Production ML Systems

Deployment Context

Self-hosted Cloud

Modalities

Tabular

Skill Areas

End-to-End ML Pipeline Development Regression Modeling ML Model Deployment ML Monitoring and Observability Data Collection and Preprocessing Model Lifecycle Management

Use Cases

ML Pipeline Template Development Regression Problem Solving Production ML System Implementation ML Education and Training

Recent Activity

Updated 6 months ago

7 Days

30 Days

90 Days

Quality

prototype

Quality: medium
Maturity: prototype

PM Skills

Scale & ReliabilityDeveloper Platform

Languages

Jupyter Notebook100.0%

Timeline

Project created: Aug 25, 2025
Forked: Mar 13, 2026
Your last push: 6 months ago
Upstream last push: 6 months ago
Tracked since: Sep 26, 2025

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