Machine Learning with Python: A Practical Beginners’ Guide (Machine Learning with Python for Beginners Book Series 2)
$3.99
Description
Book Synopsis: Ready to add Machine Learning to your skill stack? As the second title in the Machine Learning From Scratch series, this book teaches you how to code machine learning models in Python. By working on different projects with repeatable steps, you will have the blueprints and the effective strategies to code and design prediction models using your own data.
Who is this book for? The book is designed for beginners with basic background knowledge of machine learning, including common algorithms such as logistic regression and decision trees. For a gentle explanation of machine learning theory minus the code, we suggest reading the first book in this series Machine Learning for Absolute Beginners (Third Edition), which is written for a more general audience.
In this step-by-step guide you will learn:
- How to code a machine learning prediction model using a range of algorithms including logistic regression, gradient boosting, and decision trees.
- How to install a development environment and use the programming language Python to code 10 different models.
- How to write your model in the least amount of code possible with the help of Pandas, Scikit-learn, Matplotlib, and Seaborn.
- How to visualize relationships in your dataset including Heatmaps and Pairplots with just a few lines of code.
Please feel welcome to join this introductory course by buying a copy, or sending a free sample to your chosen device.
Details
Unlock the power of Machine Learning with Python in this practical beginners' guide! Whether you're a novice or have some experience with machine learning, this book is packed with hands-on projects and step-by-step instructions to help you master coding machine learning models in Python. Take your skills to the next level and start designing your own prediction models today!
Are you ready to dive into the world of machine learning but not sure where to start? This book is perfect for beginners who want to learn how to code machine learning models from scratch. With easy-to-follow tutorials and real-world examples, you'll gain the knowledge and confidence you need to excel in this exciting field. Get your copy of Machine Learning with Python now and start your journey towards becoming a machine learning pro!
Enhance your understanding of machine learning with this comprehensive guide that covers essential algorithms like logistic regression, gradient boosting, and decision trees. Learn how to set up your development environment, write efficient code, and visualize data relationships using popular libraries like Pandas, Scikit-learn, and Seaborn. Whether you're a student, professional, or hobbyist, this book is a valuable resource for honing your machine learning skills.
Ready to take the first step towards mastering Machine Learning with Python? Purchase a copy of this book today and embark on a rewarding journey towards becoming proficient in coding prediction models. Don't miss out on this opportunity to expand your skill set and explore the fascinating world of machine learning!
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