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Automated Machine Learning

This repository holds the slides and examples of a class on Automated Machine Learning as Jupyter notebooks.

Requirements

Setup

Clone repository

git clone https://github.com/vikua/aml-class-20.git
cd aml-class-20

Install with virtualenv & virtualenvwrapper

mkvirtualenv aml

Optiopnal step, env should be activated by default once created:

workon aml

Install dependencies:

pip install -r requirements.txt

Create ipython kernel:

python -m ipykernel install --user --name aml

Install with virtualenv only

virtualenv aml
source aml/bin/activate
pip install -r requirements.txt
python -m ipykernel install --user --name aml

Simple install using default python & pip

pip install -r requirements.txt

Start Jupyter Notebook

  1. At the command line, run jupyter notebook
  2. Open your web browser to the directed url
  3. Open ipynb file of interest

Table of content

1 Introduction

II Tools & Techniques for Automated Machine Learning

III Create Value using Automation

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UCU AML 2020

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