I will build and deploy a custom machine learning model
About this Gig
WHO THIS IS FOR
Businesses and founders who need a custom machine learning model trained on their data for real-world usenot just a notebook demo.
WHAT YOU GET
I design, train, evaluate, and deploy custom machine learning solutions using Python. Depending on your package, you receive:
Problem scoping and success metrics
Data review and feature engineering
Baseline and optimized ML models
Honest evaluation with clear metrics
REST API with FastAPI (Standard/Premium)
Docker packaging (Standard/Premium)
Source code, README, and documentation
This Gig focuses on traditional machine learning. For LLM or RAG solutions, please see my dedicated Gig.
HOW I WORK
- Review your requirements and data
- Confirm scope and success metrics
- Build, evaluate, and deliver the solution
- Provide revisions within the selected package
- Please contact me before ordering so I can recommend the best package for your project.
Programming language:
Python
•
SQL
•
Colab
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MLflow
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Other
Frameworks:
Scikit-learn
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PyTorch
•
Panda
•
Other
APIs:
Other
Tools:
Jupyter Notebook
•
MLflow
•
Colab
•
Other
My Portfolio
FAQ
1. Do I need a dataset?
Yes. For supervised machine learning, you need labeled data or a clear plan to collect it. I can also help define the dataset requirements before we begin.
2. Can you guarantee high accuracy?
No. Model performance depends on the quality of your data and the problem itself. I provide honest evaluation using appropriate performance metrics.
3. Will I get a REST API?
Yes. Standard and Premium packages include a FastAPI-based REST API. The Basic package focuses on model training, evaluation, source code, and documentation.
4. Do you use ChatGPT for this Gig?
No. This Gig focuses on traditional machine learning models. If you need an LLM or RAG solution, please see my dedicated AI knowledge assistant Gig.
5. What do you need before I order?
Please provide a short project brief, sample data (or schema), your success criteria, deadline, and any technical or privacy requirements.
6. Will I receive the source code?
Yes. Every package includes clean, well-documented source code, a README, and setup instructions.

