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My own quick and basic implementations for Machine Learning Decision Tree classifier algorithm!

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Experiment lab implementations for Machine Learning algorithms!

This project use pipenv project management build tool

commands used:

  • pipenv --three: Which will make use of Python 3 version and created Pipfile to describe project like package.json in node world.

Things to try

Num Py Examples

Where
  a = np.arange(5,10)
  np.where(a < 8)       # tell me where in a, entries are < 8
  (array([0, 1, 2]),)   # answer: entries indexed by 0, 1, 2
  
  a[np.where(a < 8)]    # Pick the indices values from array 
  array([5, 6, 7])      # selects from a entries 0, 1, 2

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My own quick and basic implementations for Machine Learning Decision Tree classifier algorithm!

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