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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

Preface

In Mastering Predictive Analytics with Python, you will work through a step-by-step process to turn raw data into powerful insights. Power-packed with case studies and code examples using popular open source Python libraries, this volume illustrates the complete development process for analytic applications. The detailed examples illustrate robust and scalable applications for common use cases. You will learn to quickly apply these methods to your own data.

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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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