Machine Learning Basics with Python – Level 3 by Hideaki Miyoshi(.PDF)
File Size: 10 MB
Machine Learning Basics with Python – Level 3: Scikit-Learn Foundations: From Regression & Classification to Decision Trees, Clustering & Model Evaluation (Math & Python Textbook Book 7) by Hideaki Miyoshi, Geraldine Angaga Lickas, Michael Rublack
Requirements: .PDF reader, 10 MB
Overview: When faced with massive amounts of data, it is initially nothing more than a mere sequence of numbers. Yet, the moment we pose the right questions, examine it through the lens of statistics, and apply the engine of Machine Learning, data transforms into a powerful storyteller—one that predicts the future and guides decision-making. This book is not a simple manual that just lists how to use different tools. It is a comprehensive guide designed to help you acquire a practical mindset: how to solve complex, real-world problems using the power of Data Science. It systematically covers the entire pipeline, starting from data preprocessing in Python and statistical hypothesis testing, all the way to building and evaluating Machine Learning models. Our world is full of uncertainty. That is exactly why I hope this book helps you experience the joy of clearly deciphering this complex world, step by step, grounded in the objective facts that data provides. In this textbook, we will learn Python with a tool called “Google Colab.” Google Colab is a useful free service. Anyone can use Python with just a browser (Chrome, Safari, Edge, etc.) connected to the internet. You do not need to install anything on your computer.
Genre: Non-Fiction > Tech & Devices
Free Download links: