

| Feature | BasicFocused project | StandardComplete project | PremiumProject and handover |
|---|---|---|---|
| Evaluation dataset | |||
| Error analysis | — | ||
| Benchmark report | — | ||
| Follow-up session | — | — | |
| Extended handover notes | — | — | |
| Delivery time | 3 days | 7 days | 12 days |
| Revisions | 1 | 2 | 3 |
| Price | $120 | $240 | $480 |
@samir_haddad
Practical machine learning, forecasting and AI evaluation
I help product teams decide whether a model is useful for their actual workflow. That might mean an evaluation set for a support assistant or a forecast with honest error bounds. You receive reproducible notebooks, documented assumptions and a results walkthrough, including the cases where the approach does not work well.
4.9
69 reviews


Our brief was understood from the first draft. The error analysis made the whole project worthwhile.
This was our first time outsourcing this work. The error analysis and the patient explanations made it easy.
Good evaluation dataset. A couple of details needed revising, and the seller handled that feedback well.
This was our first time outsourcing this work. The benchmark report and the patient explanations made it easy.
We had a tight launch window. The work on error analysis was ready for our team to review on schedule.
Our brief was understood from the first draft. The benchmark report made the whole project worthwhile.
