Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow (Step-by-Step Tutorial For Beginners)

**** The book "Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and TensorFlow" is predominantly well-received, offering a solid introduction to crucial concepts in machine learning and deep learning for beginners. Reviewers have praised the book for its clarity and organization, highlighting its well-written structure that caters to newcomers in the field. The tutorial-style approach with practical examples provides readers with a useful framework to understand complex topics. However, a few critiques have surfaced, notably concerning the inclusion of outdated TensorFlow versions, which may impede the learning process slightly for those using the latest tools. Furthermore, a common point of contention is the absence of sample data files for practice exercises. Although some links to external databases are provided later in the book, the initial lack of resources has left readers to generate their datasets, which can be a hurdle for those new to the subject matter. Despite these shortcomings, the overall experience with the book remains positive, and it is recommended for those eager to dive into the world of machine learning using Python. **