📗 Data Science from Scratch: First Principles with Python, 2nd edition [2019] Grus J.
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• Get a crash course in Python
• Learn the basics of linear algebra, statistics, and probability—and how and when they’re used in data science
• Collect, explore, clean, munge, and manipulate data
• Dive into the fundamentals of machine learning
• Implement models such as k-nearest neighbors, Naïve Bayes, linear and • logistic regression, decision trees, neural networks, and clustering
• Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
📙 Наука о данных с нуля: Основные принципы с Python, 2-е изд [2019] Грус Дж.
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