Python Machine Learning

"Python Machine Learning" starts from a practical perspective and integrates knowledge such as Python language basics, data analysis and visualization, and common algorithms for machine learning. The content starts from the most basic Python programming foundation, and teaches the NumPy library and Matplotlib library, as well as the basic theories and algorithms of complex machine learning, from the shallower to the deeper, step by step, and highlights the practicality and operability of the knowledge. "Python Machine Learning" strives to explain complex knowledge in simple language, uses intuitive cases to assist readers in understanding, displays code and operation results in the form of charts, and uses exercises to consolidate readers' mastery of knowledge points. "Python Machine Learning" is suitable as a textbook for Python machine learning-related courses for undergraduates majoring in computer science, software engineering, and big data in colleges and universities. It can also be used as a reference book for engineering and technical personnel in data science-related fields. It can also be used for machine learning enthusiasts who do not have a foundation in the Python language to learn from scratch.