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**Reviewer 1 comments:**
- Warnings should not be ignored.
- Use of `matplotlib.pyplot` instead of teradataml plot()
- Use of `glm_prediction.result.to_pandas()` should be avoided
- Use of `sklearn.me…
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**Reviewer 1 comments:**
- some of the commands are commented out.
- Some of unused import statements are observed.
- used external plotting to plot ROC curve.
**Reviewer 1 suggestions:**
- Remove un…
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Ref: https://secure.helpscout.net/conversation/809035519/60800?folderId=1914712
Click fraud monitoring like the setting of how many clicks can do from an IP, setting a date to appear another ad af…
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Hello !
XGBoost recently enabled developers to use categorical features in its models (Nvidia did an article on that : https://developer.nvidia.com/blog/categorical-features-in-xgboost-without-man…
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Существует ряд технологий для выявления fraud attempts в reviews. Сами методы диагностики будут обсуждены в закрытом форуме. В данном задании постановка задачи ограничивается предъявлением результатов…
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When following https://access.redhat.com/documentation/en-us/red_hat_openshift_ai_self-managed/2.9/html-single/openshift_ai_tutorial_-_fraud_detection_example/index on OpenShift AI 2.9.1, the `1_exper…
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# Fraud Detection API case study
## Overview
We analyzed a fraud detection tool, deployed and maintained by our organization, which scans online transactions and gives it a risk score. The platf…