00-Credit-Decisioning
Introduction notebook, start here to implement your FSI Lakehouse.
01-Data-Ingestion
01-DLT-Internal-Banking-Data-SQL
SQL DLT pipeline to ingest internal banking data & build clean tables.
02-Data-Governance
02-Data-Governance-credit-decisioning
Secure your tables, lineage, auditlog...
03-Data-Science-ML
03.1-Feature-Engineering-credit-decisioning
Feature engineering for credit decisioning
03.2-AutoML-credit-decisioning
ML model training using AutoML
03.3-Batch-Scoring-credit-decisioning
Batch scoring using the best model generated by AutoML
03.4-model-serving-BNPL-credit-decisioning
Create a real-time serving endpoint to enable Buy Now, Pay Later
03.5-Explainability-and-Fairness-credit-decisioning
Expalain model outputs using Shapley values and evaluate the model fairness
04-BI-Data-Warehousing
04-BI-Data-Warehousing-credit-decisioning
Run interactive queries on top of your data
05-Workflow-Orchestration
05-Workflow-Orchestration-credit-decisioning
Orchestrate all tasks in a job and schedule your data/model refresh
config
Setup schema and database name.