دانلود کتاب کار برنامه نویسی پایتون برای یادگیری ماشین با NumPy و SciPy

Welcome to the world of Python programming for machine learning! In this book, we will embark on a journey to explore the powerful combination of Python, NumPy, and SciPy to build predictive models and solve complex problems in the field of data science. Machine learning has revolutionized the way we extract insights from data and make informed decisions. Python, with its simplicity and versatility, has become the language of choice for many data scientists and machine learning practitioners. By leveraging the robust libraries of NumPy and SciPy, we can unlock the true potential of Python for machine learning. In this hands-on guide, we will dive deep into the foundations of machine learning, starting with an introduction to the key concepts and techniques. We will then delve into the world of NumPy and SciPy, discovering their vast array of functions and capabilities for data manipulation, numerical computations, and statistical analysis. Throughout this book, we will focus on practicality and real-world applications. We will guide you through the process of building predictive models step-by-step, from data preprocessing and feature engineering to model selection and evaluation. You will gain a solid understanding of the machine learning workflow and learn how to apply it to various domains, such as finance, healthcare, and marketing.