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Iris
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier. (by RubixML)
One prominent Machine Learning project is RubixML. It's got tools for supervised and unsupervised learning, and it's used in a variety of domains. It's open source and free to use. Some use-cases for RubixML are: Image classification, text sentiment analysis, and image segmentation. If you are planning on doing Google's crash course in Machine Learning, perhaps an Iris Flower Classifier would be a good example to take a look at.
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One prominent Machine Learning project is RubixML. It's got tools for supervised and unsupervised learning, and it's used in a variety of domains. It's open source and free to use. Some use-cases for RubixML are: Image classification, text sentiment analysis, and image segmentation. If you are planning on doing Google's crash course in Machine Learning, perhaps an Iris Flower Classifier would be a good example to take a look at.
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