Data Science from Scratch

This updated book on data science teaches you the tools, algorithms, and principles underlying data science. With a focus on Python 3.6, author Joel Grus shows you how to implement these tools from scratch. Whether you have a background in programming or mathematics, this book will help you master the fundamentals of data science such as statistics, probability, and machine learning. The book also covers newer topics like deep learning and natural language processing. With practical examples and exercises, you'll be able to clean, manipulate, and analyze data, and implement models like neural networks and decision trees.