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isaac

This is the Python files I put together during writing up a series of blogs on machine learning.

requirements

  • numpy
  • pandas (optional)
  • matplotlib
  • scipy

examples

>>> from isaac.models.regressions import LinearRegression
>>> from isaac.optimizers.gradient import Descent
>>> model = LinearRegression.from_dimension(10)
...
>>> X, Y = get_XY_from_frame(...)
>>> descent = Descent(model, X, Y, 0.001)
>>> print(model.cost(X, Y)

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Practical Machine Learning Library

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