

| 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


We had a tight launch window. The work on error analysis was ready for our team to review on schedule.
Seller's reply
Thanks, it was a pleasure. Still around if anything comes up.
Really pleased with the benchmark report. We could put the delivery to use without another meeting.
Seller's reply
Thanks, it was a pleasure. Still around if anything comes up.
The evaluation dataset fit our brief. I would leave more time for the final review on our next project.
Really pleased with the benchmark report. We could put the delivery to use without another meeting.
Seller's reply
Thanks! Glad the team picked it up so quickly, that's always the best sign.
We had a tight launch window. The work on error analysis was ready for our team to review on schedule.
This was our first time outsourcing this work. The evaluation dataset and the patient explanations made it easy.
Seller's reply
Thank you for the review, and for sharing your numbers afterwards — that's genuinely useful for me.
