Top 12 Python Packages for Machine Learning

Top 12 Python Packages for Machine Learning

Top 12 Python Packages for Machine Learning: Numpy, Pandas, Matplotlib, Seaborn, Scipy, Scikit-Learn , NLTK, Keras, TensorFlow, Pytorch, Theano, CNTK

Lovers of vintage movies would have definitely heard of the Monty Python series. The programming language that it inspired continues to remain among the most popular languages. Guess why Python has consistently topped the charts of the most popular programming languages? Because of its rich environment of libraries and tools, its easy code readability and the fact that it is so easy to pick up. You name the domain, and you will get Python libraries available, to help you out in solving problems. Right from Artificial Intelligence, Data Science, Machine Learning, Image Processing, Speech Recognition, Computer Vision and more, Python has numerous uses. These libraries and frameworks are open source and can be easily integrated with the development environment that one has.

These software frameworks, the platforms which provides necessary libraries and code components, are backbones for devloping applications. Read on to see which are the top ML frameworks and libraries in Python.

Icons

  • Numpy 
  • Pandas
  • Matplotlib 
  • Seaborn 
  • Scipy     
  • Scikit-Learn 
  • NLTK 
  • Keras
  • TensorFlow 
  • Pytorch 
  • Theano 
  • CNTK 

python machine-learning big-data

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