Topic: machine-learning-workflow Goto Github
Some thing interesting about machine-learning-workflow
Some thing interesting about machine-learning-workflow
machine-learning-workflow, Machine Learning with Python can be used to predict the likelihood of events based on data. Includes the steps to be followed which applying machine learning to the problem statement.
User: amitha353
machine-learning-workflow,A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀
Organization: awesome-mlops
machine-learning-workflow,BentoML Example Projects 🎨
Organization: bentoml
Home Page: https://bentoml.com
machine-learning-workflow,BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Organization: blazingdb
Home Page: https://blazingsql.com
machine-learning-workflow,Machine Learning Workflow
Organization: data-science-workshops
machine-learning-workflow,AI Flow is an open source framework that bridges big data and artificial intelligence.
Organization: flink-extended
machine-learning-workflow,This repository demonstrated how you can use Github Actions to perform inference with your ML model
User: gaborvecsei
Home Page: https://gaborvecsei.github.io
machine-learning-workflow,Tutorial followed from the Understanding Machine Learning with Python pluralsight course by Jerry Kurata. Used the Machine Learning workflow to process and transform Pima Indian Diabetes data to create a prediction model that would predict which people are likely to develop diabetes with 70% or greater accuracy.
User: popovicidaniela
Home Page: https://www.pluralsight.com/courses/python-understanding-machine-learning
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