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Machine Learning Solutions

You're reading from   Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788390040
Length 566 pages
Edition 1st Edition
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Table of Contents (19) Chapters Close

Machine Learning Solutions
Foreword
Contributors
Preface
1. Credit Risk Modeling 2. Stock Market Price Prediction FREE CHAPTER 3. Customer Analytics 4. Recommendation Systems for E-Commerce 5. Sentiment Analysis 6. Job Recommendation Engine 7. Text Summarization 8. Developing Chatbots 9. Building a Real-Time Object Recognition App 10. Face Recognition and Face Emotion Recognition 11. Building Gaming Bot List of Cheat Sheets Strategy for Wining Hackathons Index

Setting up the coding environment


In this section, we will cover how to set up a coding environment that can help us implement our applications. We need to install the gym library. These are the steps that you can follow. I'm using Ubuntu 16.04 LTS as my operating system:

  • Step 1: Clone the gym repository from GitHub by executing this command: $ sudo git clone https://github.com/openai/gym.gi t

  • Step 2: Jump to the gym directory by executing this command: $ cd gym

  • Step 3: Execute this command to install the minimum number of required libraries for gym: $ sudo pip install -e

  • Step 4: Install the gaming environment for Atari games by executing this command: $ sudo pip install gym[atari]

  • Step 5: This step is optional. If you want to install all the gaming environments, then you can execute the following commands:

    • $ sudo apt-get install -y python-numpy python-dev cmake zlib1g-dev libjpeg-dev xvfb libav-tools xorg-dev python-opengl libboost-all-dev libsdl2-dev swig

    • $ sudo pip install gym[all]...

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