Datrics helps FinTech companies to build and deploy machine learning models without writing code. Analysts and domain experts leverage a drag-n-drop interface to enable self-service analytics.
Connect and join your data (historical, demographic, transactional, credit bureau, non-performing loans, device meta-data) from different sources without coding
400+ hours saved yearly for each analyst: Automate and schedule data preparation and reports in a visual way - executable flows
Create better models and get encrypted APIs out-of-the box
Model versioning, comparison and reports
For modeling:
- continuous variables binning
- information value and weight of evidence
- automatic feature selection and modelling, including gini and roc/auc assessment
- APIs created out of the box, scheduled deployments
- application scorecard creation directly from LogReg model
- custom python code integration and Dask under the hood
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