Machine Learning for the Web

Gaining insight and intelligence from the internet with Python

Publisher:Packt Publishing Limited

By: Steve Essinger and Andrea Isoni

Paid access

|Jan 2025

E-Book €34.99Institutions €134.95

Description

Explore the web and make smarter predictions using Python

Key Features

Targets two big and prominent markets where sophisticated web apps are of need and importance.
Practical examples of building machine learning web application, which are easy to follow and replicate.
A comprehensive tutorial on Python libraries and frameworks to get you up and started.

Book Description

Python is a general purpose and also a comparatively easy to learn programming language. Hence it is the language of choice for data scientists to prototype, visualize, and run data analyses on small and medium-sized data sets. This is a unique book that helps bridge the gap between machine learning and web development. It focuses on the difficulties of implementing predictive analytics in web applications. We focus on the Python language, frameworks, tools, and libraries, showing you how to build a machine learning system. You will explore the core machine learning concepts and then develop and deploy the data into a web application using the Django framework. You will also learn to carry out web, document, and server mining tasks, and build recommendation engines. Later, you will explore Python’s impressive Django framework and will find out how to build a modern simple web app with machine learning features.

What you will learn

Get familiar with the fundamental concepts and some of the jargons used in the machine learning community
Use tools and techniques to mine data from websites
Grasp the core concepts of Django framework
Get to know the most useful clustering and classification techniques and implement them in Python
Acquire all the necessary knowledge to build a web application with Django
Successfully build and deploy a movie recommendation system application using the Django framework in Python

Who this book is for

The book is aimed at upcoming and new data scientists who have little experience with machine learning or users who are interested in and are working on developing smart (predictive) web applications. Knowledge of Django would be beneficial. The reader is expected to have a background in Python programming and good knowledge of statistics.