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Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value Emil Bock With the help of theGo from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network theoretical methods; and see actual examples of data analysis at work. This one stop solution covers the essential
