GitHub - SayamAlt/Airline-Passenger-Satisfaction-Classification: Successfully developed a machine learning model to predict Airline Passenger Satisfaction by building an end-to-end MLOps pipeline. It integrates DVC for data versioning, a Dockerfile for containerization, and CI/CD using GitHub Actions for automated deployment.

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Successfully developed a machine learning model to predict Airline Passenger Satisfaction by building an end-to-end MLOps pipeline. It integrates DVC for data versioning, a Dockerfile for containerization, and CI/CD using GitHub Actions for automated deployment.

airline-passenger-satisfaction-akevhzeuh8btgffr.canadacentral-01.azurewebsites.net/

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Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
.dvc		.dvc
.github/workflows		.github/workflows
catboost_info		catboost_info
data		data
dvc_remote_storage/files/md5		dvc_remote_storage/files/md5
mlruns		mlruns
models		models
outputs		outputs
src		src
templates		templates
.DS_Store		.DS_Store
.dvcignore		.dvcignore
.gitignore		.gitignore
Airline Passengers Satisfaction Classification.ipynb		Airline Passengers Satisfaction Classification.ipynb
Dockerfile		Dockerfile
airline_passenger_satisfaction_classifier.pkl		airline_passenger_satisfaction_classifier.pkl
app.py		app.py
classification_report.txt		classification_report.txt
confusion_matrix.png		confusion_matrix.png
dvc.lock		dvc.lock
dvc.yaml		dvc.yaml
requirements.txt		requirements.txt
run_flask.sh		run_flask.sh