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Mastering Predictive Analytics with Python

You're reading from Mastering Predictive Analytics with Python Exploit the power of data in your business by building advanced predictive modeling applications with Python

Product type Paperback

Published in Aug 2016

Publisher

ISBN-13 9781785882715

Length 334 pages

Edition 1st Edition

Languages

Python

Concepts

Predictive Analytics

Author (1):

Joseph Babcock

View More author details

Table of Contents (11) Chapters

Preface

1. From Data to Decisions – Getting Started with Analytic Applications FREE CHAPTER

2. Exploratory Data Analysis and Visualization in Python

3. Finding Patterns in the Noise – Clustering and Unsupervised Learning

4. Connecting the Dots with Models – Regression Methods

5. Putting Data in its Place – Classification Methods and Analysis

6. Words and Pixels – Working with Unstructured Data

7. Learning from the Bottom Up – Deep Networks and Unsupervised Features

8. Sharing Models with Prediction Services

9. Reporting and Testing – Iterating on Analytic Systems

Index

What you need for this book

You'll need latest Python version and PySpark version installed, along with the Jupyter notebook.

The rest of the chapter is locked

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Authors (1)

Joseph Babcock

Joseph Babcock

Joseph Babcock has spent over a decade working with big data and AI in the e-commerce, digital streaming, and quantitative finance domains. Throughout his career, he has worked on recommender systems, petabyte-scale cloud data pipelines, A/B testing, causal inference, and time series analysis. He completed his PhD studies at Johns Hopkins University, applying machine learning to drug discovery and genomics.

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