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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

Just for fun - implementing the Flappy Bird gaming bot


In this section, we will be building the Flappy Bird gaming bot. This gaming bot has been built using DQN. You can find the entire code at this GitHub link: https://github.com/jalajthanaki/DQN_FlappyBird.

This bot has a pre-trained model, so you test it using the pre-trained model. In order to run this bot, you need to execute this command:

$ python deep_q_network.py

You can see the output in the following screenshot:

Figure 11.33: Output of the Flappy Bird gaming bot

You can see the combination of all the concepts that we have studied so far in this implementation, so make sure you explore this code. Consider this your exercise for the chapter.

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