introduction

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Introduction

Overview of our toolbox

This tutorial is an introduction to machine learning in Python. We will rely heavily on the scikit-learn and numpy packages. Scikit-learn will be used for implementing machine learning protocols and learning algorithms, and numpy will be used to manipulate matrices of data.

Getting started

Clone the GitHub repository for the tutorial:

git clone https://github.com/aldro61/microbiome-summer-school-2017.git microbiome-ml-tutorial

Then, go to the exercise directory:

cd microbiome-ml-tutorial/exercises

Install the dependencies for the tutorial by running the following command:

make install.dependencies

Objectives

After completing this tutorial, you should have acquired the following skills:

• Understanding the various types of learning problems (regression, classification, etc.)
• Performing machine learning experiments using correct protocols
• Interpreting the results of machine learning experiments
• Using Python to apply machine learning algorithms to biological datasets

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