/CreditRisk

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CreditRisk

To solve this task I used some data preprocesing and feature engineering tehniques. Also I defined base model, you can find this part in preprocesing_and_final_model notebook.

Then I used Neural Net and LGBM, that showed better performance, so I decided to use one of ensemble methods - Blending. This models you can find in following notebooks: