July 2016
Intermediate to advanced
298 pages
6h 14m
English
Overview
This book guides you through integrating the power of machine learning with web development using Python. You'll learn how to create effective, predictive web applications leveraging frameworks such as Django, as well as explore real-world use cases like recommendation systems and web mining.
What this Book will help me do
- Gain understanding of key machine learning concepts and terminology.
- Learn how to perform web data mining using Python libraries.
- Master the Django framework for developing interactive web applications.
- Discover the best clustering and classification techniques to use in Python.
- Complete a hands-on movie recommendation system using Python and Django.
Author(s)
Steve Essinger, with expertise in Python programming and data science, teams up with None Isoni to provide a clear approach to this intersection of web development and machine learning. Both authors bring practical insights and accessible explanations to ensure that readers with varying backgrounds can follow along.
Who is it for?
This book is ideal for aspiring data scientists and developers aiming to combine Python machine learning with practical web development. Some familiarity with statistics and Python programming is expected, but prior experience with Django is not mandatory. The book primarily serves readers eager to understand and implement predictive capabilities into web applications. Developers seeking a guided, hands-on approach will find this book perfectly suited to their needs.
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