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Data Science Tools

The best Data Science Tools based on votes, our collection of reviews, verified products and a total of 41 factors
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  1. Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

  2. NumPy is the fundamental package for scientific computing with Python

  3. RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

  4. Pandas on AWS. Contribute to awslabs/aws-data-wrangler development by creating an account on GitHub.

  5. shaman is a Machine Learning library for node.js

  6. warpt-ctc is a loss function useful for performing supervised learning on sequence data, without an alignment between input data and labels that can be used to train end-to-end systems for speech recognition.

  7. haskell-ml is Haskell implementations of various ML algorithms.

  8. Naive Bayesian Classification for Golang that perform classification into an arbitrary number of classes on sets of strings.

  9. Data Science and Machine Learning

  10. MLKit is a simple machine learning framework written in Swift.

  11. Conjecture is a framework for building machine learning models in Hadoop using the Scalding DSL.

  12. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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