August 2016
Beginner to intermediate
334 pages
8h 27m
English
Overview
Mastering Predictive Analytics with Python takes you through the process of developing analytic applications, harnessing Python's diverse libraries for predictive modeling. You will learn to analyze data, implement machine learning techniques, and create scalable applications that provide insights for decision-making.
What this Book will help me do
- Understand the components and design decisions for an analytical application.
- Master the usage of Python notebooks for rapid data exploration and prototyping.
- Learn to apply machine learning algorithms for regression, classification, clustering, and deep learning.
- Develop visualizations to showcase insights and performance results effectively.
- Deploy production-ready machine learning models and scale them as needed.
Author(s)
Joseph Babcock is an experienced data science practitioner and technical author. With a robust background in analytics and machine learning, he specializes in creating practical and insightful guides for utilizing technology to solve real-world problems. Joseph's writing is aimed at empowering readers to apply technical concepts effectively.
Who is it for?
This book is for business analysts, data scientists, and analysts looking to deepen their expertise in predictive analytics. If you're a developer or a beginner in Python, it provides enough foundational knowledge to get started. Moving from conceptual understanding to applied techniques, this book suits those aiming to build advanced solutions using Python.
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