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Machine-Learning

This repository contains the most useful machine learning algorithms, a large description of each of them follow by real world case studies. This course emphasis not just about the algorithm widely use but also how to turn them, evaluate them and make them more efficient depending on the type of data you working on.

<title>Syllabus</title>
  1. Decision Trees
  2. Classification
  3. Regression
  4. Neural Network
  5. Real World case studies

by Kenneth PIWELE

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