Supervised ML Model Development
Budget: $15 – $25 USD
I need a supervised learning model built from the ground up. You will take my raw data, handle preprocessing, select and justify the algorithm, train, tune, and deliver a production-ready model with accompanying Python code (TensorFlow, PyTorch, or scikit-learn are all acceptable).
Your proposal should focus on your relevant experience with similar supervised learning projects—please highlight datasets you have tackled, algorithms you excel with, and any deployment or MLOps know-how. No lengthy sales pitches; I want to see evidence that you can translate business objectives into high-performing, explainable models.
Deliverables
• Clean, well-commented source code and notebooks
• Reproducible training pipeline
• Evaluation report covering accuracy and at least one additional metric appropriate to the problem (e.g., F1, ROC-AUC)
• Exported model artifact ready for API or batch use
• Brief hand-off guide so my team can retrain or fine-tune later
If this aligns with your expertise, I’m ready to move quickly.
Your proposal should focus on your relevant experience with similar supervised learning projects—please highlight datasets you have tackled, algorithms you excel with, and any deployment or MLOps know-how. No lengthy sales pitches; I want to see evidence that you can translate business objectives into high-performing, explainable models.
Deliverables
• Clean, well-commented source code and notebooks
• Reproducible training pipeline
• Evaluation report covering accuracy and at least one additional metric appropriate to the problem (e.g., F1, ROC-AUC)
• Exported model artifact ready for API or batch use
• Brief hand-off guide so my team can retrain or fine-tune later
If this aligns with your expertise, I’m ready to move quickly.
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