How to build a Machine Learning Platform and an example of use
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Data Science Environment.ipynb


How to build a Machine Learning Platform and an example of use

Version 0.1

By Pierfrancesco Ghedini

twitter account @pierfghedini


In this tutorial we will setup a platform from scratch to experiment with Python and Machine Learning tools. What you will need:

  • an host enabled to run Virtual Machines
  • or an host with a USB memory key of adequate dimension to store a linux distro (at least 2GB)

In order to make simple the setup we will use the "Fedora Python Classroom" an excellent linux distro with a preinstalled lot of useful tools.

The tutorial is also an introduction to simple Machine Learning techniques. In particular we will use a well known classifier called "RandomForestClassifier" to try to predict if a passenger of the famous TITANIC will survive to the shipwreck or not. As the manual says the RandomForestClassifier is "a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting."