Node-RED ML Flows

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Node-RED ML Flows" is an indispensable collection of meticulously crafted and highly functional machine learning flows, designed to enhance the efficiency and effectiveness of data analysis within the Node-RED framework. This curated assortment encompasses a range of essential workflows, including linear regression, polynomial regression, random forest regression, decision tree regression, random forest classification, decision tree classification, and k-means clustering.

"Node-RED ML Flows" is poised to revolutionize the way users approach machine learning within the Node-RED environment. With its accessibility, versatility, and robustness, this collection empowers researchers, data scientists, and enthusiasts to leverage the power of machine learning algorithms, enabling them to make data-driven decisions, gain deeper insights, and unlock new possibilities in their respective domains.