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Python Reinforcement Learning Projects

You're reading from  Python Reinforcement Learning Projects

Product type Book
Published in Sep 2018
Publisher Packt
ISBN-13 9781788991612
Pages 296 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Sean Saito Sean Saito
Profile icon Sean Saito
LinkedIn
Sean Saito is the youngest ever Machine Learning Developer at SAP and the first bachelor hired for the position. He currently researches and develops machine learning algorithms that automate financial processes. He graduated from Yale-NUS College in 2017 with a Bachelor of Science degree (with Honours), where he explored unsupervised feature extraction for his thesis. Having a profound interest in hackathons, Sean represented Singapore during Data Science Game 2016, the largest student data science competition. Before attending university in Singapore, Sean grew up in Tokyo, Los Angeles, and Boston.
See other products by Sean Saito
Yang Wenzhuo Yang Wenzhuo
Profile icon Yang Wenzhuo
LinkedIn
Yang Wenzhuo works as a Data Scientist at SAP, Singapore. He got a bachelor's degree in computer science from Zhejiang University in 2011 and a Ph.D. in machine learning from the National University of Singapore in 2016. His research focuses on optimization in machine learning and deep reinforcement learning. He has published papers on top machine learning/computer vision conferences including ICML and CVPR, and operations research journals including Mathematical Programming.
See other products by Yang Wenzhuo
Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Profile icon Rajalingappaa Shanmugamani
LinkedIn
Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
See other products by Rajalingappaa Shanmugamani
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Table of Contents (17) Chapters

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Up and Running with Reinforcement Learning 2. Balancing CartPole 3. Playing Atari Games 4. Simulating Control Tasks 5. Building Virtual Worlds in Minecraft 6. Learning to Play Go 7. Creating a Chatbot 8. Generating a Deep Learning Image Classifier 9. Predicting Future Stock Prices 10. Looking Ahead 1. Other Books You May Enjoy Index

Data used

The data that we will use will be the standard and poor's 500. According to Wikipedia, it is An American stock market index based on the market capitalizations of 500 large companies having common stock listed on the NYSE or NASDAQ. Here is a link to the data (https://ca.finance.yahoo.com/quote/%255EGSPC/history?p=%255EGSPC).

The data has the following columns:

  1. Date: This indicates the date under consideration
  2. Open: This indicates the price at which the market opens on the date
  3. High: This indicates the highest market price on the date
  4. Low: This indicates the lowest market price on the date
  5. Close: This indicates the price at which the market closes on the date, adjusted for the split
  6. Adj Close: This indicates the adjusted closing price for both the split and dividends
  7. Volume: This indicates the total volume of shares available

The date under consideration for training the data is as follows:

Start: 14 August 2006
End: 13th August 2015

On the website, filter the date as follows, and download...

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Authors (3)

Left arrow icon
Profile icon Sean Saito
LinkedIn
Sean Saito is the youngest ever Machine Learning Developer at SAP and the first bachelor hired for the position. He currently researches and develops machine learning algorithms that automate financial processes. He graduated from Yale-NUS College in 2017 with a Bachelor of Science degree (with Honours), where he explored unsupervised feature extraction for his thesis. Having a profound interest in hackathons, Sean represented Singapore during Data Science Game 2016, the largest student data science competition. Before attending university in Singapore, Sean grew up in Tokyo, Los Angeles, and Boston.
Read more
See other products by Sean Saito
Profile icon Yang Wenzhuo
LinkedIn
Yang Wenzhuo works as a Data Scientist at SAP, Singapore. He got a bachelor's degree in computer science from Zhejiang University in 2011 and a Ph.D. in machine learning from the National University of Singapore in 2016. His research focuses on optimization in machine learning and deep reinforcement learning. He has published papers on top machine learning/computer vision conferences including ICML and CVPR, and operations research journals including Mathematical Programming.
See other products by Yang Wenzhuo
Profile icon Rajalingappaa Shanmugamani
LinkedIn
Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
Read more
See other products by Rajalingappaa Shanmugamani
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