Oliver Theobald Machine Learning for Absolute Beginners: A Plain English Introduction (Book 1) – kindle edition

Book overview
(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 youre 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 arent 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 How to find and download free datasets for machine learning projects Data cleaning and preparation techniques, including one-hot encoding, binning, and handling missing values How to prepare data for accurate analysis using methods like k-fold validation Regression analysis to identify trends and make predictions k-means clustering to uncover hidden patterns and relationships in data The fundamentals of neural networks and how modern AI systems learn A step-by-step beginner project to predict house prices using Python and machine learning
Machine learning doesnt have to be intimidating. This book gives you the skills to build your first prediction model in Python, step by step.