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The machine learning library you really understand.

  • To bridge the gap between the theoretical and coding aspects of machine learning algorithms.
  • To write intuitive blogs as python notebooks so as to juxtapose theory and code. Explaining the fundamentals of the algorithm from the very basics.
  • To minimise the use of external dependencies except the fundamental ones like numpy and matplotlib.
  • To make sure that the algorithms are coherent with already existing machine learning frameworks.
  • To be a one stop repository for understanding almost all the basic machine learning algorithms.



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