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Implementations of machine learning concepts in modules with basic numpy

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Intro

We implement all machine learning algorithms, concepts and ideas here, with following principles:

  • Only use Numpy

  • All in modules/blocks

  • No dirty/garbage codes

  • As more matrix calculation as possible

  • As less for loops as possible

  • Write tests

  • Self-explained naming convention

Machine Learning

Technically, we can create a mathematical model for any problems in the world with following elements:

  • Problem Definition

  • Historical Data

  • Model (Hypothesis)

  • Error (Loss, cost function, object function)

  • Optimizer

Index

Some Basic Functions

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Implementations of machine learning concepts in modules with basic numpy

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