Book Image

Mastering Predictive Analytics with scikit-learn and TensorFlow

By : Alvaro Fuentes
Book Image

Mastering Predictive Analytics with scikit-learn and TensorFlow

By: Alvaro Fuentes

Overview of this book

Python is a programming language that provides a wide range of features that can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification and regression problems. This book starts with ensemble methods and their features. You will see that scikit-learn provides tools for choosing hyperparameters for models. As you make your way through the book, you will cover the nitty-gritty of predictive analytics and explore its features and characteristics. You will also be introduced to artificial neural networks and TensorFlow, and how it is used to create neural networks. In the final chapter, you will explore factors such as computational power, along with improvement methods and software enhancements for efficient predictive analytics. By the end of this book, you will be well-versed in using deep neural networks to solve common problems in big data analysis.
Table of Contents (7 chapters)

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Predictive Analytics with TensorFlow
Md. Rezaul Karim

ISBN: 978-1-78839-892-3

  • Get a solid and theoretical understanding of linear algebra, statistics, and probability for predictive modeling
  • Develop predictive models using classification, regression, and clustering algorithms
  • Develop predictive models for NLP
  • Learn how to use reinforcement learning for predictive analytics
  • Factorization Machines for advanced recommendation systems
  • Get a hands-on understanding of deep learning architectures for advanced predictive analytics
  • Learn how to use deep Neural Networks for predictive analytics
  • See how to use recurrent Neural Networks for predictive analytics
  • Convolutional Neural Networks for emotion recognition, image classification, and sentiment analysis

scikit-learn Cookbook...