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XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

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XGBoost Alternatives

The best XGBoost 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. 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.

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

  6. WEKA is a set of powerful data mining tools that run on Java.

  7. Crab is a Python framework for building recommender engines.

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

  9. Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

  10. TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

  11. Discover insights and relationships in text

  12. MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.

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