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Learning Predictive Analytics with Python

You're reading from Learning Predictive Analytics with Python

Product type Book

Published in Feb 2016

Publisher

ISBN-13 9781783983261

Pages 354 pages

Edition 1st Edition

Languages

Concepts

Predictive Analytics

Authors (2):

Ashish Kumar

Gary Dougan

View More author details

Table of Contents (19) Chapters

Learning Predictive Analytics with Python

Credits

Foreword

About the Author

Acknowledgments

About the Reviewer

www.PacktPub.com

Preface

1. Getting Started with Predictive Modelling

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 List of Links

Index

About the Author

Ashish Kumar has a B. Tech from IIT Madras and is a Young India Fellow from the batch of 2012-13. He is a data science enthusiast with extensive work experience in the field. As a part of his work experience, he has worked with tools, such as Python, R, and SAS. He has also implemented predictive algorithms to glean actionable insights for clients from transport and logistics, online payment, and healthcare industries. Apart from the data sciences, he is enthused by and adept at financial modelling and operational research. He is a prolific writer and has authored several online articles and short stories apart from running his own analytics blog. He also works pro-bono for a couple of social enterprises and freelances his data science skills.

He can be contacted on LinkedIn at https://goo.gl/yqrfo4, and on Twitter at https://twitter.com/asis64.

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Authors (2)

Ashish 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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Gary Dougan

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