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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, votes, reviews and other factors.
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  1. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

  2. BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

  3. Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

  4. python-recsys is a python library for implementing a recommender system.

  5. Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

  6. GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.

  7. 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.

  8. IBM Watson Machine Learning Service enables you to create, train, and deploy self-learning models using an automated, collaborative workflow.

  9. Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

  10. Obtains details of a cached recommendation.

  11. Show users intelligent search suggestions with the Bing Autosuggest API from Microsoft Azure. Test out the autocomplete API to see how it works.

  12. Real-time personalization and recommendation engine in AWS

  13. Train custom ML models with minimum effort and expertise

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This article was published on | Author: | Publisher: SaaSHub
Categories: Data Dashboard, Data Science And Machine Learning, Technical Computing