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(Featured and recommended by Tableau as the first of "7 Books About Machine Learning for Beginners") Want to add 'Machine Learning with Python' to your LinkedIn profile and create your own real estate prediction model? This book and the others in this series will help you do just that. Whether you're an absolute beginner or simply looking to refresh your knowledge, this first book provides the essential skills and hands-on experience needed to build your first predictive model in Python. What Makes This Book Different? Many machine learning textbooks for beginners arenโt truly written for beginners. This book was designed specifically for people starting from zero. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along. New Updated Edition This new edition features extended chapters with quizzes , updated code for 2026 , an easy introduction to coding with Python as well as downloadable resources not included in the Second Edition. What You Will Learn โข How to find and download free datasets for machine learning projects โข Data cleaning and preparation techniques, including one-hot encoding, binning, and handling missing values โข How to prepare data for accurate analysis using methods like k-fold validation โข Regression analysis to identify trends and make predictions โข k -means clustering to uncover hidden patterns and relationships in data โข The fundamentals of neural networks and how modern AI systems learn โข A step-by-step beginner project to predict house prices using Python and machine learning Machine learning doesn't have to be intimidating. This book gives you the skills to build your first prediction model in Python, step by step. Scroll up and click "Buy Now" to get started right away Frequently Asked Questions Q: Do I need programming experience to complete this book? A: This book is designed for absolute beginners, so no programming experience is required. Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition? A: As the same topics from the Second Edition are covered in the Third Edition, you would be better served by reading a more advanced book on machine learning and AI. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author. Q: Does this book include everything I need to become a machine learning expert? A: Unfortunately, no. This book is designed for beginners and further learning will be required beyond this book to master AI and machine learning and become the next Andrew Ng. Review: Great book to start learning on machine learning - It is a great book to start if you have very few knowledge on machine learning. You can get essential fundamental knowledge and light up your enthusiasm. The best thing is it is not expensive. Review: Great - Exactly what I needed.




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S**T
Great book to start learning on machine learning
It is a great book to start if you have very few knowledge on machine learning. You can get essential fundamental knowledge and light up your enthusiasm. The best thing is it is not expensive.
A**H
Great
Exactly what I needed.
H**R
Beginners
Very useful to start to learn the basic Machine Learning concepts. With real examples and the "Math" part it's explained step by step and what is the meaning of all used symbols in the functions etc. Not to you implement, but it's aimed to you understand what are you looking for when you have an algorithm function in front of you. The Quiz parts also allow to consolidate the important parts of the chapters.
J**E
Easy to read and very affordable! So helpful for my learning!
I wasnโt sure about this author it was very affordable and it wasnโt super popular and didnโt have many reviews but I must say Iโm so glad I purchased this book. I have learned about machine learning concepts but I forgot some things and wanted a small concise book I can reference and this has EVERYTHING and MORE of what I need to know for data science and data analysis. I included many photos because Iโm one of those people that likes to see what would be in the book to make sure itโs useful to me. In the back he included a link for video tutorials for like regression, doing k-nearest and k-clustering and decision trees. Also included a list of other resources for similar topics to further your reading. I wouldnโt say this is for beginners I feel like itโs more of a crash course for people who generally know this stuff like myself and just need a bit of refresher on what something is or how to do it. If you want a step by step guide showing you exactly what to do and then implementing it like in a project this is not that. This more so just covers the concepts to teach you ABOUT it but not actually APPLYING it to a project throughout the book. If that makes sense. Iโve read other books that build on a project to take what you learn and use it so you will have a finished project by the end of the book. This is something if you need to reference for a specific thing you can flip to that chapter and look at it without needing to know whatโs itโs previous chapters. Also I like the little short quizzes at the end of each chapter thatโs nice. But if u just want to learn about machine learning and then get other books to go along with this that might be more detailed and apply the concepts in here itโs a very helpful and easy to read book that I think is worth it for such an affordable price.
F**O
Too much simplified
I think that the book is very elementar and I think it is not possible to learn very much from it
G**R
Best for beginners
I really liked this book Easy to understand But the last few chapters can be more detailed. Good book overall
P**K
Understandable explanations
Is a combination of, concepts, and how-to, in a concise reference. And consequently contains understandable explanations, which can be used for getting started. The title phrase, "for Absolute Beginners" is what attracts me to this content, and I have not been dissappointed.
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