R Machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 [E-Book] / Dr. Sunil Kumar Chinnamgari.
Chinnamgari, Sunil Kumar, (author)
1st edition
[Birmingham] : Packt Publishing, 2019
325 pages (online resource)
englisch
9781789806090
9781789807943
Full Text
Table of Contents:
  • R Machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
  • Contributors
  • Table of Contents
  • Preface
  • Chapter 1: Exploring the Machine Learning Landscape
  • Chapter 2: Predicting Employee Attrition Using Ensemble Models
  • Chapter 3: Implementing a Jokes Recommendation Engine
  • Chapter 4: Sentiment Analysis of Amazon Reviews with NLP
  • Chapter 5: Customer Segmentation Using Wholesale Data
  • Chapter 6: Image Recognition Using Deep Neural Networks
  • Chapter 7: Credit Card Fraud Detection Using Autoencoders
  • Chapter 8: Automatic Prose Generation with Recurrent Neural Networks
  • Chapter 9: Winning the Casino Slot Machines with Reinforcement Learning
  • The Road Ahead
  • Other Books You May Enjoy
  • Index.