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awesome-ml-monitoring icon awesome-ml-monitoring

A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data ๐Ÿš€

awesome-r icon awesome-r

A curated list of awesome R packages, frameworks and software.

benchmarking-anomaly-detection icon benchmarking-anomaly-detection

This repository contains the code used in the paper: Benchmarking anomaly detection methods, Elena Tiukhova, Bart Baesens, Monique Snoeck

biost578a icon biost578a

bioinformatics for big omics data. Winter 2014. Professor Raphael Gottardo

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

credit-risk-management-project icon credit-risk-management-project

Deep understanding of banking and trading book in bankโ€™s operation Working knowledge of Bankโ€™s wholesale and retail lending products Hands-on experience of Basel credit risk parameters (LGD) estimation in SAS Explored the difference between expected and unexpected credit loss

enlighten-apply icon enlighten-apply

Example code and materials that illustrate applications of SAS machine learning techniques.

ml-mooc-nptel icon ml-mooc-nptel

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

openlgd icon openlgd

openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as standalone library and in a federated learning context where data remain in distinct (separate) servers

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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