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Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with PythonKey Features[•]A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices[•]Get to grips with the basics of Predictive Analytics with Python[•]Learn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringBook DescriptionSocial Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form - It needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Learning to predict who would win, lose, buy, lie, or die with Python is an indispensable skill set to have in this data age. This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy. You'll st

Author

Ashish Kumar

Publisher

Packt Publishing, Limited

Published

2016

Language

EN

ISBN

9781783983261

Subjects

Computer Science, Language Learning, Science