From SQL to trained model in 10 minutes
Walkthrough: connect a Postgres database, define a prediction task, and deploy a real model — no code.
- Category
- Tutorial
- Author
- Langsat Team
- Date
- Reading time
- 5 min
- Share
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The 10-minute path
- Connect your database — Postgres, MySQL, or a Parquet upload
- Pick your target — any column in any table
- Train — we handle schema detection, feature engineering, and model selection
- Predict — via API, SQL function, or CSV batch
Example: predict churn from your production DB
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The result is a model trained on your actual data, ready to call from your backend within minutes of connecting.
What you don’t have to do
No Python. No Jupyter. No feature store. No MLOps pipeline. Langsat handles the infrastructure so your team can focus on the business question.
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