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Can I read Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python on EtoBox?

Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python by Gulipalli, Pradeep; Kumar, Ashish is a nonfiction available to read on EtoBox.

What is Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python about?

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About This Book • 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 Clustering Who This Book Is For If you wish to learn how to implement Predictive Analytics algorithms using Python libraries, then this is the book for you. If you are familiar with coding in Python (or some other programming/statistical/scripting language) but have never used or read about Predictive Analytics algorithms, this book will also help you. The book will be beneficial to and can be read by any Data Science enthusiasts. Some familiarity with Python will be useful to get the most out of this book, but it is certainly not a prerequisite. What You Will Learn • Understand the statistical and mathematical concepts behind Predictive Analytics algorithms and implement Predictive Analytics algorithms using Python libraries • Analyze the resul

Who reads Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Gulipalli, Pradeep; Kumar, Ashish
Publisher
Packt Publishing, Limited
Published
2016
Language
EN
ISBN
9781783983261
Category
nonfiction
Subjects
Science, Language Learning, Computer Science

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