José Unpingco's textbook, Python for Probability, Statistics, and Machine Learning , published by Springer , bridges theoretical concepts with practical, reproducible Python implementations. The book covers topics such as scientific computing tools, probability, statistics, and machine learning, featuring numerous examples using libraries like Pandas and Scikit-learn.
You can find the book, which includes Jupyter Notebooks for interactive learning, through the publisher Springer and various open-source code repositories .
Amazon.com: Python for Probability, Statistics, and Machine Learning
