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DEPARTAMENTOS
INTERESSE GERAL
INTERESSE GERAL 2
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LIVROS TÉCNICOS 2
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Hands-On Data Preprocessing in Python
Cód:
491_9781801072137
De: R$ 0,00Por: R$ 455,61ou X de
This book will make the link between data cleaning and preprocessing to help you design effective data analytic solutionsKey Features:Develop the skills to perform data cleaning, data integration, data reduction, and data transformationGet ready to make the most of your data with powerful data transformation and massaging techniquesPerform thorough data cleaning, such as dealing with missing values and outliersBook Description:Data preprocessing is the first step in data visualization, data analytics, and machine learning, where data is prepared for analytics functions to get the best possible insights. Around 90% of the time spent on data analytics, data visualization, and machine learning projects is dedicated to performing data preprocessing.This book will equip you with the optimum data preprocessing techniques from multiple perspectives. Youll learn about different technical and analytical aspects of data preprocessing - data collection, data cleaning, data integration, data reduction, and data transformation - and get to grips with implementing them using the open source Python programming environment. This book will provide a comprehensive articulation of data preprocessing, its whys and hows, and help you identify opportunities where data analytics could lead to more effective decision making. It also demonstrates the role of data management systems and technologies for effective analytics and how to use APIs to pull data.By the end of this Python data preprocessing book, youll be able to use Python to read, manipulate, and analyze data; perform data cleaning, integration, reduction, and transformation techniques; and handle outliers or missing values to effectively prepare data for analytic tools.What You Will Learn:Use Python to perform analytics functions on your dataUnderstand the role of databases and how to effectively pull data from databasesPerform data preprocessing steps defined by your analytics goalsRecognize and resolve data integration challe
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