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.
Latest update:
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/scikit-learn-alternatives
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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/bigml-alternatives
BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
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Clear. Fast. Unlimited. Residential & Mobile Proxies For Best Price .
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/google-cloud-tpu-alternatives
Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
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/amazon-forecast-alternatives
Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.
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/aws-personalize-alternatives
Real-time personalization and recommendation engine in AWS
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/python-recsys-alternatives
python-recsys is a python library for implementing a recommender system.
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/qubole-alternatives
Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
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/google-cloud-automl-alternatives
Train custom ML models with minimum effort and expertise
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/golearn-alternatives
GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.
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/microsoft-bing-image-search-api-alternatives
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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/microsoft-recommendations-api-alternatives
Obtains details of a cached recommendation.
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/weka-alternatives
WEKA is a set of powerful data mining tools that run on Java.
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/aws-sagemaker-ground-truth-alternatives
Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.