Byg din første machine learning-model med scikit-learn i Python
Lær at bygge din første ML-model med scikit-learn i Python. Komplet begynderguide med pipelines, krydsvalidering, hyperparameter-tuning og kodeeksempler du kan bruge direkte.
Daniel Okonkwo
Daniel is a staff data engineer with 13 years across fintech and logistics. He spent four years at Plaid building the transaction-enrichment pipeline (Python + Kafka + Snowflake), three years before that at Flexport on the freight-visibility data platform, and started his career at IBM doing DB2 performance work he still grudgingly draws on. He writes about the gluework of modern Python data stacks: Prefect 2 flow design, dbt run orchestration from Python, Pydantic-based contract validation between Bronze and Silver layers, and the operational realities of running polars in containers with strict memory limits. He has contributed patches to dbt-core and to the prefect-snowflake integration. Daniel is based in Lagos and Lisbon depending on the quarter, holds AWS Solutions Architect Professional, and writes a small newsletter about data-platform postmortems.