René's URL Explorer Experiment

Title: GitHub - Abeshith/MachineLearning-PipeLine: Full MLOps pipeline with DVC for data/model versioning, MLflow for experiment tracking, & Airflow DAGs orchestrating data ingestion, validation, feature engineering, training & evaluation. Integrated CI/CD using GitHub Actions to automate container builds & delivery workflows. Deploys trained model via Dockerhub to a local Kubernetes cluster. · GitHub

Open Graph Title: GitHub - Abeshith/MachineLearning-PipeLine: Full MLOps pipeline with DVC for data/model versioning, MLflow for experiment tracking, & Airflow DAGs orchestrating data ingestion, validation, feature engineering, training & evaluation. Integrated CI/CD using GitHub Actions to automate container builds & delivery workflows. Deploys trained model via Dockerhub to a local Kubernetes cluster.

X Title: GitHub - Abeshith/MachineLearning-PipeLine: Full MLOps pipeline with DVC for data/model versioning, MLflow for experiment tracking, & Airflow DAGs orchestrating data ingestion, validation, feature engineering, training & evaluation. Integrated CI/CD using GitHub Actions to automate container builds & delivery workflows. Deploys trained model via Dockerhub to a local Kubernetes cluster.

Description: Full MLOps pipeline with DVC for data/model versioning, MLflow for experiment tracking, & Airflow DAGs orchestrating data ingestion, validation, feature engineering, training & evaluation. Integrated CI/CD using GitHub Actions to automate container builds & delivery workflows. Deploys trained model via Dockerhub to a local Kubernetes cluster. - Abeshith/MachineLearning-PipeLine

Open Graph Description: Full MLOps pipeline with DVC for data/model versioning, MLflow for experiment tracking, & Airflow DAGs orchestrating data ingestion, validation, feature engineering, training & evaluation. ...

X Description: Full MLOps pipeline with DVC for data/model versioning, MLflow for experiment tracking, & Airflow DAGs orchestrating data ingestion, validation, feature engineering, training & eval...

Opengraph URL: https://github.com/Abeshith/MachineLearning-PipeLine

X: @github

direct link

Domain: github.com

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current-catalog-service-hash	f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
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html-safe-nonce	ce022508574f3132bf25ea33b72ffbb013bf4939825cd51d2a2a13663dc15900
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visitor-hmac	04d2c5b9eeb326b1fc07ec23e48e89a44b13998fc58cfdd69f66ee4314b3e96b
hovercard-subject-tag	repository:1018442442
github-keyboard-shortcuts	repository,copilot
google-site-verification	Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-url	https://collector.github.com/github/collect
analytics-location	//
fb:app_id	1401488693436528
apple-itunes-app	app-id=1477376905, app-argument=https://github.com/Abeshith/MachineLearning-PipeLine
twitter:image	https://opengraph.githubassets.com/57a53bfeb61ef590b217d42f94552e62c17fdd6335a06fb51c37d5a49844615f/Abeshith/MachineLearning-PipeLine
twitter:card	summary_large_image
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og:image:alt	Full MLOps pipeline with DVC for data/model versioning, MLflow for experiment tracking, & Airflow DAGs orchestrating data ingestion, validation, feature engineering, training & evaluation. ...
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Links:

Skip to content	https://github.com/Abeshith/MachineLearning-PipeLine#start-of-content
	https://github.com/
Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2FAbeshith%2FMachineLearning-PipeLine
GitHub CopilotWrite better code with AI	https://github.com/features/copilot
GitHub Copilot appDirect agents from issue to merge	https://github.com/features/ai/github-app
MCP RegistryNewIntegrate external tools	https://github.com/mcp
ActionsAutomate any workflow	https://github.com/features/actions
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Code ReviewManage code changes	https://github.com/features/code-review
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Code securitySecure your code as you build	https://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they start	https://github.com/security/advanced-security/secret-protection
Why GitHub	https://github.com/why-github
Documentation	https://docs.github.com
Blog	https://github.blog
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Reload	https://github.com/Abeshith/MachineLearning-PipeLine
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MachineLearning-PipeLine	https://github.com/Abeshith/MachineLearning-PipeLine
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	https://github.com/Abeshith/MachineLearning-PipeLine
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	https://github.com/Abeshith/MachineLearning-PipeLine/branches
	https://github.com/Abeshith/MachineLearning-PipeLine/tags
16 Commits	https://github.com/Abeshith/MachineLearning-PipeLine/commits/main/
	https://github.com/Abeshith/MachineLearning-PipeLine/commits/main/
.dvc	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/.dvc
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config	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/config
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notebooks	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/notebooks
outputs	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/outputs
outputs	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/outputs
scripts	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/scripts
scripts	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/scripts
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src/mlpipeline	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/src/mlpipeline
templates	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/templates
templates	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/templates
tests	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/tests
tests	https://github.com/Abeshith/MachineLearning-PipeLine/tree/main/tests
.dockerignore	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/.dockerignore
.dockerignore	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/.dockerignore
.dvcignore	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/.dvcignore
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Dockerfile	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/Dockerfile
Dockerfile	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/Dockerfile
README.md	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/README.md
README.md	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/README.md
app.py	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/app.py
app.py	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/app.py
deployment.yaml	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/deployment.yaml
deployment.yaml	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/deployment.yaml
ingress.yaml	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/ingress.yaml
ingress.yaml	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/ingress.yaml
main.py	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/main.py
main.py	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/main.py
model_dag.py	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/model_dag.py
model_dag.py	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/model_dag.py
pyproject.toml	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/pyproject.toml
pyproject.toml	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/pyproject.toml
requirements.txt	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/requirements.txt
requirements.txt	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/requirements.txt
service.yaml	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/service.yaml
service.yaml	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/service.yaml
setup.py	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/setup.py
setup.py	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/setup.py
template.py	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/template.py
template.py	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/template.py
uv.lock	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/uv.lock
uv.lock	https://github.com/Abeshith/MachineLearning-PipeLine/blob/main/uv.lock
README	https://github.com/Abeshith/MachineLearning-PipeLine
	https://github.com/Abeshith/MachineLearning-PipeLine#machine-learning-pipeline
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