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Monitor Wml Model With Watson Openscale ⭐ 12

Monitor performance, fairness, and quality of a WML model with AI OpenScale APIs

Employee Attrition Aif360 ⭐ 10

Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to build and deploy a model on Watson Machine Learning.

Icp4d Customer Churn Classifier ⭐ 8

Infuse AI into your application. Create and deploy a customer churn prediction model with IBM Cloud Private for Data, Db2 Warehouse, Spark MLlib, and Jupyter notebooks.

Predict Home Value Using Watson Machine Learning And Db2 ⭐ 8

Predict home value using IBM Watson machine learning and Db2 database.

Watson Machine Learning Model Deploy ⭐ 7

WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode. Refer to https://github.com/IBM/monitor-wml-model-with-wats for a similar example.

Data Pre Processing With Pywren ⭐ 6

Use PyWren over IBM Cloud Functions to perform face recognition deep learning

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