توضیحات
learning data science and analytics. Readers explore key topics including data cleaning, visualization, statistical analysis, and machine learning using Python and popular libraries like Pandas, NumPy, Matplotlib, and Scikit-Learn. The book emphasizes real-world datasets and exercises, enabling learners to apply concepts immediately. With step-by-step instructions and guided projects, it equips students, aspiring data scientists, and professionals with the skills needed to analyze data, build predictive models, and generate actionable insights in practical scenarios.
نقد و بررسیها
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