Data Science from Scratch: First Principles with Python 2nd Edition Overview Data Science from Scratch by Joel Grus provides a foundational introduction to essential concepts and techniques in data science...
In Hands-On Machine Learning with Scikit-Learn and TensorFlow, Aurélien Géron guides you through the most effective machine learning techniques and practices using Python libraries such as TensorFlow and Scikit-Learn. This...
"Introduction to Machine Learning 4th Edition" by Andreas C. Müller and Sarah Guido serves as a comprehensive guide for both beginners and seasoned practitioners delving into the realm of machine...
Introduction to Machine Learning with Python by Andreas C. Müller is a highly regarded book designed for both beginners and intermediate-level data scientists who are looking to explore the world...
"Python Data Science Handbook: Essential Tools for Working with Data 2nd Edition" by Jake VanderPlas is an indispensable resource for data scientists, analysts, and Python enthusiasts. This comprehensive handbook covers...
Python Data Science Handbook by Jake VanderPlas Python Data Science Handbook by Jake VanderPlas is a comprehensive guide to using Python for data science. It covers a range of essential...
Python Machine Learning - Second Edition: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow by Sebastian Raschka and Vahid Mirjalili is a comprehensive guide that covers the fundamentals...
"Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries by Lee Vaughan (Author)" offers a comprehensive guide for scientists, researchers, and enthusiasts seeking to harness...
"The Hundred-Page Machine Learning Book" by Andriy Burkov provides a concise yet comprehensive introduction to the fundamentals of machine learning. Burkov distills complex concepts into a hundred pages, making it...