Educathon 2022: Análise de dados de COVID 19 com CP4D e DB2

Predict flooding risk with Copernicus data and a self-sustaining CP4D MLOps pipeline. Training/test data versioning with DVC

Data analytics and prediction using Netezza Performance Server

Azure Service Principal

Code snippet to test AWS STS, terraform software, AWS Shared credentials.

With this Python notebook algorithm, you can use SPSS Model notebook to build machine learning pipelines that you can use to iterate rapidly during the model building process in data analysis. Whether you're trying to find the right algorithm or experimenting with different ways of preparing your data, you can create reproducible research that's…

This repo has an IBM's Narrative of MLOps. It uses all the services in IBM's Cloud Pak for Data stack to actualise what an MLOps flow looks like.

Customer churn is an important aspect for any business, it gives them insights about their prospective customers. In this tutorial we will be predicting customer churn of car owners. We will be utilizing Watson data refinery to alter our data, and then use AutoAI to rapdliy develop a classfication machine learning model in a matter of minutes an…