machine-learning in Python
Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.
machine-learning in Python Alternatives
The best machine-learning in Python alternatives based on verified products, community votes, reviews and other factors.
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
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Ideanote is the #1 rated Idea Management solution for companies of all sizes. Collect, develop and manage more of the right ideas from customers and employees to drive your growth.
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Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
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Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.
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Real-time personalization and recommendation engine in AWS
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python-recsys is a python library for implementing a recommender system.
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Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
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Train custom ML models with minimum effort and expertise
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GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.
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Obtains details of a cached recommendation.
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The Bing Image Search API adds a host of image search features to your apps including trending images. Test the image API with our online demo.
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Integrate news search functionality into your apps with the Bing News Search API from Microsoft Azure. Try the news API online to see it in action.
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WEKA is a set of powerful data mining tools that run on Java.