You will get Predict ICU patient deterioration early using an end-to-end ML system
Project details
I build production-ready machine learning systems, not just models.
This project delivers an end-to-end ML solution with reproducible code, automated training pipelines, experiment tracking, and model versioning, designed to scale from prototype to production.
My approach emphasizes clean architecture, data reliability, and real-world constraints. Every solution is adapted to your data and problem, with clear evaluation metrics and optional MLOps layers for monitoring and lifecycle management.
If you need a dependable ML system that can be extended, deployed, and maintained, not a one-off experiment, this project is built for that.
This project delivers an end-to-end ML solution with reproducible code, automated training pipelines, experiment tracking, and model versioning, designed to scale from prototype to production.
My approach emphasizes clean architecture, data reliability, and real-world constraints. Every solution is adapted to your data and problem, with clear evaluation metrics and optional MLOps layers for monitoring and lifecycle management.
If you need a dependable ML system that can be extended, deployed, and maintained, not a one-off experiment, this project is built for that.
Machine Learning Tools
MLflow, NumPy, pandas, Python, Python Scikit-Learn, PyTorchWhat's included
| Service Tiers |
Starter
$24.99
|
Standard
$79.99
|
Advanced
$119.99
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 0 | 1 | 2 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
About Santosh
Data Science & Machine Learning
Kathmandu, Nepal - 8:51 am local time
MLOps tech stack I use: DVC, MLFlow, Airflow, Docker, CI/CD, Prometheus & Grafana, Evidently AI
Steps for completing your project
After purchasing the project, send requirements so Santosh can start the project.
Delivery time starts when Santosh receives requirements from you.
Santosh works on your project following the steps below.
Revisions may occur after the delivery date.
Construct the roadmap depending upon the answer answered by client.
Acess data & make pipeline for ingestion,preprocessing and savingto remote.
The process flows this way.
