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Handson Data Preprocessing In Python Learn How To Effectively Prepare Data For Successful Data Analytics Jafari

  • SKU: BELL-56135306
Handson Data Preprocessing In Python Learn How To Effectively Prepare Data For Successful Data Analytics Jafari
$ 31.00 $ 45.00 (-31%)

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Handson Data Preprocessing In Python Learn How To Effectively Prepare Data For Successful Data Analytics Jafari instant download after payment.

Publisher: Packt Publishing
File Extension: PDF
File size: 49.52 MB
Pages: 602
Author: Jafari, Roy
ISBN: 9781801072137, 1801072132
Language: English
Year: 2022

Product desciption

Handson Data Preprocessing In Python Learn How To Effectively Prepare Data For Successful Data Analytics Jafari by Jafari, Roy 9781801072137, 1801072132 instant download after payment.

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 transformation* Get ready to make the most of your data with powerful data transformation and massaging techniques* Perform thorough data cleaning, such as dealing with missing values and outliersBook DescriptionData 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. You'll 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, you'll 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 data* Understand the role of databases and how to effectively pull data from databases* Perform data preprocessing steps defined by your analytics goals* Recognize and resolve data integra

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