Description:
Implement an end-to-end MLOps data science project, from initial setup to deployment on AWS EC2 using GitHub Actions. Learn to create a GitHub repository, structure the project using templates, set up logging, perform data ingestion, validation, and transformation, train models, build prediction pipelines, and deploy the solution. Gain hands-on experience with MLflow for experiment tracking and model management throughout the development process.
End to End MLOPS Data Science Project Implementation With Deployment
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#Computer Science
#Machine Learning
#MLOps
#Data Science
#DevOps
#CI/CD
#GitHub Actions
#Data Processing
#Data Transformation
#Information Technology
#Data Management
#Data Validation
#Data Engineering
#Data Ingestion
#MLFlow
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