Hands-On Predictive Analytics with Python: Master the complete predictive analytics process, from problem definition to model deployment

by Álvaro Fuentes

A step-by-step guide to building high performing predictive applications Predictive analytics is a field of applied analytics that employs a variety of quantitative methods to analyze your data and make predictions. This book guides you through the most important concepts related to predictive analytics. With the help of practical, step-by-step examples, you'll be able to build predictive analytics solutions while using cutting-edge Python tools and packages. You'll learn effectively by defining the problem and then moving on to identifying relevant data. As you advance, you'll get to grips with tasks such as data preparation, exploring and visualizing relationships, building models, and more. You will also work with models such as K-Nearest Neighbors (KNN), random forests, and neural networks using key libraries in Python's data science stack including NumPy, pandas, Matplotlib, and Seaborn. All along, you'll explore useful examples and Python code that will help you grasp the concepts and techniques effectively. In addition to this, you'll gain detailed insights into the core techniques and algorithms used in predictive analytics. By the end of this book, you will be equipped with the skills you need to build high-performance predictive analytics solutions using Python programming. This book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and are interested in implementing predictive analytics solutions using Python's data stack. Anyone looking to get started in this exciting field will also find this book useful. Proficiency in Python programming and a basic understanding of statistics and college-level algebra are required.

Genres: Computer Science

330 pages, Paperback

Published December 28, 2018

Reviews

[Johnny · Rating 4 out of 5]

A good book for everyone interested in predictive Analytics with Python.