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Python Data Science Essentials: Become an Efficient Data Science Practitioner by Thoroughly Understanding the key Concepts of Python (en Inglés)
Alberto Boschetti; Luca Massaron (Autor)
·
Packt Publishing
· Tapa Blanda
Python Data Science Essentials: Become an Efficient Data Science Practitioner by Thoroughly Understanding the key Concepts of Python (en Inglés) - Alberto Boschetti; Luca Massaron
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Reseña del libro "Python Data Science Essentials: Become an Efficient Data Science Practitioner by Thoroughly Understanding the key Concepts of Python (en Inglés)"
Key FeaturesQuickly get familiar with data science using PythonSave time - and effort - with all the essential tools explainedCreate effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experienceBook DescriptionThe book starts by introducing you to setting up your essential data science toolbox. Then it will guide you across all the data munging and preprocessing phases. This will be done in a manner that explains all the core data science activities related to loading data, transforming and fixing it for analysis, as well as exploring and processing it. Finally, it will complete the overview by presenting you with the main machine learning algorithms, the graph analysis technicalities, and all the visualization instruments that can make your life easier in presenting your results.In this walkthrough, structured as a data science project, you will always be accompanied by clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.What you will learnSet up your data science toolbox using a Python scientific environment on Windows, Mac, and LinuxGet data ready for your data science projectManipulate, fix, and explore data in order to solve data science problemsSet up an experimental pipeline to test your data science hypothesisChoose the most effective and scalable learning algorithm for your data science tasksOptimize your machine learning models to get the best performanceExplore and cluster graphs, taking advantage of interconnections and links in your dataTable of ContentsFirst StepsData MungingThe Data Science PipelineMachine LearningSocial Network AnalysisVisualization
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