Python Machine Learning By Example

This book is for anyone interested in entering the data science stream with machine learning. It covers the fundamentals of machine learning and Python, and provides examples and projects to help readers build their own intelligent applications.

Format: Electronic book text
Length: 254 pages
Publication date: 02 April 2023
Publisher: Packt Publishing Limited

About This Book:

Learn the Fundamentals of Machine Learning and Build Your Own Intelligent Applications:

This book provides a comprehensive and practical guide for anyone interested in entering the world of data science with machine learning. Whether you are a beginner or have some experience with programming, this book will help you grasp the fundamentals of machine learning and enable you to build your own intelligent applications.

Master the Art of Building Your Own Machine Learning Systems with This Example-Based Practical Guide:

This book is designed to be a hands-on guide, providing you with step-by-step instructions and examples to help you build your own machine learning systems. It covers important classification and regression algorithms and other machine learning techniques, allowing you to apply them to real-world problems.

Who This Book Is For:

This book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed, as it is the programming language used throughout the book.

What You Will Learn:

Through this book, you will gain expertise in handling data extraction, manipulation, and exploration techniques using Python. You will learn how to visualize data spread across multiple dimensions and extract useful features, which are essential for building robust machine learning models.

Dive Deep into the World of Analytics to Predict Situations Correctly:

You will explore the world of analytics, which is crucial for making accurate predictions. You will learn how to implement machine learning classification and regression algorithms from scratch in Python, allowing you to see the algorithms in action and evaluate their performance.

Be Amazed to See the Algorithms in Action:

As you progress through the book, you will be amazed to see how machine learning algorithms can solve complex real-world problems. You will apply your knowledge to solve interesting problems and gain practical experience in the field.

Evaluate the Performance of a Machine Learning Model and Optimize It:

Once you have built your machine learning model, it is important to evaluate its performance and optimize it for better results. This book will guide you through the process of evaluating the model's performance and making necessary adjustments to improve its accuracy.

Solve Interesting Real-World Problems Using Machine Learning and Python:

As you complete the chapters in this book, you will have the skills and knowledge to solve interesting real-world problems using machine learning and Python. You will be able to apply your knowledge to address practical challenges and make meaningful contributions to the field.

In Detail:

Data science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning.

This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation. With the help of various practical examples and exercises, you will gain hands-on experience in building and evaluating machine learning models.

By the end of this book, you will have a solid foundation in machine learning and be ready to embark on your journey into the exciting world of data science. Whether you are a student, professional, or hobbyist, this book will provide you with the tools and knowledge you need to succeed in this field.

So, why wait? Start your journey into machine learning today and unlock the power of data science with this comprehensive and practical guide!

Weight: 510g
Dimension: 192 x 234 x 17 (mm)
ISBN-13: 9781783553112