Mulimbika Makina
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End to End Machine Learning with Deployment
From ideation to production
Machine Learning
MLOps
Model Deployment
Data Pipelines
FastAPI
Docker
Author
Mulimbika Makina
Published
August 3, 2025
On this page
1
Overview
2
1. Problem Definition
3
2. Architecture Design
4
3. Data Pipeline
5
4. Model Development
6
5. Model Evaluation
7
6. Model Deployment
8
7. Monitoring & Logging
9
8. Feedback Loop & Retraining
10
Conclusion & Takeaways
11
References
1
Overview
2
1. Problem Definition
3
2. Architecture Design
4
3. Data Pipeline
5
4. Model Development
6
5. Model Evaluation
7
6. Model Deployment
8
7. Monitoring & Logging
9
8. Feedback Loop & Retraining
10
Conclusion & Takeaways
11
References
scikit-learn
MLflow
FastAPI
Docker
