Data Science Frameworks

Apr 3, 2021
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Top > Applications > Development > Language Ecosystems > Python > Data Science Frameworks
Top > Intelligence > Artificial Intelligence > Machine Learning (General) > Data Science Frameworks

  • Flyte - A Python-based DSL to create concurrent and scalable workflows for machine learning and data processing.  🌐
  • Keras - A Python API to experiment with neural networks that runs on top of either TensorFlow, Theano, or CNTK.  🌐
  • Matplotlib - A Python library for data visualisation (bars, pies, plotting, etc.)  🌐
  • Numpy - A Python library for numerical computing (arrays, matrices, etc.)  🌐
  • Pandas - A Python library for data computation and analysis, a.k.a. "Excel for Python".  🌐
  • PyTorch - A Python framework for machine learning that is typically considered a friendlier alternative to TensorFlow.  🌐
  • Scikit-Learn - A Python machine learning framework based built on NumPy, SciPy, and matplotlib which implements typical algorithms such as classification, regression, clustering, etc.  🌐
  • Scipy - A Python library for scientific computing (signal processing, integration, solving ODEs, linear algebra, etc.)  🌐
  • TensorFlow - A Python framework to build Machine Learning (ML) models   🌐

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