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ddroder/machine_learning_explained

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Description

This package is designed for learning the mathematics behind machine learning algorithms.

While building the algorithms, it will give step by step instructions as to what is going on.

Installation

First, we must install the library. This can be done by running:

pip3 install ml-but-explained

Usage

c=linear_regression(help=True,math_breakdown=True)
c.simple_dataset()
c.train()
print(c.predict([[1,3]]))   
print(c.steps)

We can toggle Help and math_breakdown to tell us information about the algorithm we are using (linear regression in this case). And we can use the math_breakdown feature to add some verbosity to the output of what is going on mathematically.

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