Credit risk modelling through machine learning

Credit risk modelling through machine learning

Janid

Janid

Frederiksberg,

The aim of the project is to create a platform to automatically import data, inspect it and create credit risk models

Artificial Intelligence

Description

The aim is to create a system to find the best credit scoring model based on historical data. As with all modeling activities, it is unclear in advance which analytic method is most suitable. This system therefore uses three different methods simultaneously – Decision Trees, Neural Networking and SVM – then automatically determines which model is most accurate and writes that model out for further use.

Janid abdellah

Janid added photos to project Credit risk modelling through machine learning

Medium 7199c4d2 bd78 4f94 b1d6 4dd3d44a1789

Credit risk modelling through machine learning

The aim is to create a system to find the best credit scoring model based on historical data. As with all modeling activities, it is unclear in advance which analytic method is most suitable. This system therefore uses three different methods simultaneously – Decision Trees, Neural Networking and SVM – then automatically determines which model is most accurate and writes that model out for further use.

Medium janid abdellah

Janid created project Credit risk modelling through machine learning

Medium 7199c4d2 bd78 4f94 b1d6 4dd3d44a1789

Credit risk modelling through machine learning

The aim is to create a system to find the best credit scoring model based on historical data. As with all modeling activities, it is unclear in advance which analytic method is most suitable. This system therefore uses three different methods simultaneously – Decision Trees, Neural Networking and SVM – then automatically determines which model is most accurate and writes that model out for further use.

No users to show at the moment.

No users to show at the moment.