June 2017
Beginner to intermediate
576 pages
15h 22m
English
Overview
Dive into the world of predictive analytics with 'Practical Predictive Analytics.' This comprehensive guide walks you through analyzing current and historical data to predict future outcomes. Using tools like R and Spark, you will master practical skills, solve real-world challenges, and apply predictive analytics across domains like marketing, healthcare, and retail.
What this Book will help me do
- Learn the six steps for successfully implementing predictive analytics projects.
- Acquire practical skills in data cleaning, input, and model deployment using tools like R and Spark.
- Understand core predictive analytics algorithms and their applications in various industries.
- Apply data analytics techniques to solve problems in fields such as healthcare and marketing.
- Master methods for handling big data analytics using Databricks and Spark for effective prediction.
Author(s)
The author, None Winters, is an experienced data scientist and technical educator. With extensive background in predictive analytics, Winters specializes in applying statistical methods and techniques to real-world consultation scenarios. Winters brings a practical and accessible approach to this text, ensuring that learners can follow along and apply their newfound expertise effectively.
Who is it for?
This book is ideal for statisticians and analysts with some programming background in languages like R, who want to master predictive analytics skills. It caters to intermediate learners who aim to enhance their ability to solve complex analytical problems. Whether you're looking to advance your career or improve your proficiency in data science, this book will serve as a valuable resource for learning and growth.
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