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The Ultimate Guide to Python Coding and Programming Machine Learning

Deion Simmons

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Published in Deep Learning: A Comprehensive Guide To Python Coding And Programming Machine Learning And Neural Networks For Data Analysis (Python Programming Deep Learning)

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Python is one of the most popular programming languages in the world, and for good reason. It's easy to learn, versatile, and powerful. Python is used in a wide variety of applications, from web development to data science to machine learning.

Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without being explicitly programmed. Machine learning algorithms are used in a wide variety of applications, from spam filtering to fraud detection to medical diagnosis.

Deep Learning: A Comprehensive Guide to Python Coding and Programming Machine Learning and Neural Networks for Data Analysis (Python Programming Deep Learning)

by Anthony Adams

4.7 out of 5

Language	:	English
File size	:	3404 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	287 pages
Lending	:	Enabled

This book is a comprehensive guide to Python coding and programming machine learning. It covers everything you need to know, from the basics of Python to advanced machine learning techniques.

Part 1: Python Coding

The first part of this book covers the basics of Python coding. You'll learn about:

* Variables and data types * Control flow * Functions * Modules * Object-oriented programming

Part 2: Machine Learning

The second part of this book covers the basics of machine learning. You'll learn about:

* Supervised learning * Unsupervised learning * Reinforcement learning * Machine learning algorithms

Part 3: Python Coding for Machine Learning

The third part of this book covers how to use Python for machine learning. You'll learn about:

* Data preprocessing * Feature engineering * Model training * Model evaluation

Part 4: Machine Learning Projects

The fourth part of this book contains a number of machine learning projects that you can use to practice your skills. These projects cover a variety of topics, from spam filtering to fraud detection to medical diagnosis.

This book is a comprehensive guide to Python coding and programming machine learning. It covers everything you need to know, from the basics of Python to advanced machine learning techniques. With this book, you'll be able to learn Python and machine learning and start building your own machine learning projects.