-
Notifications
You must be signed in to change notification settings - Fork 8
Open
Description
- End-to-end data science pipeline builder
The agent could ingest a project spec (“build a churn prediction model for telecom data”), then plan tasks (data ingestion, cleaning, EDA, modeling, evaluation, deployment), spawn mtp agents for each, and track progress in files.
– Because deepagents supports spawning and file tools, your agent could produce artifacts at each stage, log results, write reports, update model code, and maybe even generate deployment scripts.
Metadata
Metadata
Assignees
Labels
No labels