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: A Guide for Data Scientists" authored by Andreas C. Müller and Sarah Guido is a comprehensive primer for individuals venturing into the realm of...
"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 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...