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Basics for machine learning
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machine_learning
ml_util
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README.md
basic_ml.pyproj
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samples.py

README.md

basic_ml

  • Basic gradient descent algorithms. It is useful for different types of regression.
  • The implementations in this project are the result of my learnings from Andrew Ng's course on Coursera. So, it is a good starting point for intuition, if you like to look under the hood of gradiend descent-based machine learning algorithms.
  • Take a look at the samples.py file to get an overview of the algorithms.

Requirements:

  1. Python 3.4.*
  2. numpy (v1.10.*)
  3. Scipy
  4. Matlibplot
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