توضیحات
This third edition is a beginner-friendly guide to using Python in the field of data science. It covers essential libraries like Pandas, NumPy, Matplotlib, and Scikit-learn, teaching readers how to clean, analyze, and visualize data. The book explains core concepts such as statistical analysis, machine learning, and predictive modeling in an accessible way. Step-by-step examples and hands-on exercises allow readers to apply their knowledge to real-world datasets and projects. Designed for students, professionals, and anyone new to data science, this book provides a solid foundation for using Python to extract insights and make data-driven decisions.
نقد و بررسیها
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