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Learning Predictive Analytics with Python

You're reading from Learning Predictive Analytics with Python Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

Product type Paperback

Published in Feb 2016

Publisher

ISBN-13 9781783983261

Length 354 pages

Edition 1st Edition

Languages

Python

Concepts

Predictive Analytics

Authors (2):

Ashish Kumar

Gary Dougan

View More author details

Table of Contents (12) Chapters

Preface

1. Getting Started with Predictive Modelling FREE CHAPTER

2. Data Cleaning

3. Data Wrangling

4. Statistical Concepts for Predictive Modelling

5. Linear Regression with Python

6. Logistic Regression with Python

7. Clustering with Python

8. Trees and Random Forests with Python

9. Best Practices for Predictive Modelling

A. A List of Links

Index

Chapter 1. Getting Started with Predictive Modelling

Predictive modelling is an art; its a science of unearthing the story impregnated into silos of data. This chapter introduces the scope and application of predictive modelling and shows a glimpse of what could be achieved with it, by giving some real-life examples.

In this chapter, we will cover the following topics in detail:

Introducing predictive modelling
Applications and examples of predictive modelling
Installing and downloading Python and its packages
Working with different IDEs for Python

You have been reading a chapter from

Learning Predictive Analytics with Python

Published in: Feb 2016

Publisher:

ISBN-13: 9781783983261

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Authors (2)

Gary Dougan

Gary Dougan

See other products by Gary Dougan

Kumar

Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.

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