Titlebook: Introduction to Data Science; A Python Approach to Laura Igual,Santi Seguí Textbook 2024Latest edition The Editor(s) (if applicable) and Th

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Basics of Natural Language Processing,cture and users may use text abbreviations. We review basic mechanisms required to perform sentiment analysis, including data cleaning, producing a general representation of the text, and performing some statistical inference on the text represented to determine positive and negative sentiments.

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Responsible Data Science,e to prevent unauthorized access and misuse of personal information. Upholding these principles fosters trust between individuals and the data-driven systems influencing their lives, ultimately guiding data science toward a socially responsible and ethically sound future.

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Data Science Tools,In this chapter, first we introduce some of the cornerstone tools that data scientists use. The toolbox of any data scientist, as for any kind of programmer, is an essential ingredient for success and enhanced performance. Choosing the right tools can save a lot of time and thereby allow us to focus on data analysis.

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Introduction to Data Science978-3-031-48956-3Series ISSN 1863-7310 Series E-ISSN 2197-1781

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Laura Igual,Santi SeguíDescribes tools and techniques that demystify data science.Discusses Python extensions, techniques and modules to perform statistical analysis and machine learning.Includes case studies, and supplies

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https://doi.org/10.1007/978-3-031-48956-3Data Science; Parallel Computing; Python Programming; Statistical Inference; Graph Analysis

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