Clean Data - Data Science Strategies for Tackling Dirty Data pdf epub mobi txt 电子书下载 2024

☆☆☆☆☆
简体网页||繁体网页

Megan Squire

Packt Publishing - ebooks Account

2015-5-29

267

USD 39.99

Paperback

9781785284014

图书标签: 计算机计算机科学英文版 Programming Data 数据 datascience data.mining

喜欢 Clean Data - Data Science Strategies for Tackling Dirty Data 的读者还喜欢

下载链接在页面底部

点击这里下载

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 复制链接

想要找书就要到小哈图书下载中心

qciss.net

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

发表于2024-09-19

Clean Data - Data Science Strategies for Tackling Dirty Data epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Clean Data - Data Science Strategies for Tackling Dirty Data pdf epub mobi txt 电子书下载 2024

图书描述

Is much of your time spent doing tedious tasks such as cleaning dirty data, accounting for lost data, and preparing data to be used by others? If so, then having the right tools makes a critical difference, and will be a great investment as you grow your data science expertise.

The book starts by highlighting the importance of data cleaning in data science, and will show you how to reap rewards from reforming your cleaning process. Next, you will cement your knowledge of the basic concepts that the rest of the book relies on: file formats, data types, and character encodings. You will also learn how to extract and clean data stored in RDBMS, web files, and PDF documents, through practical examples.

At the end of the book, you will be given a chance to tackle a couple of real-world projects.

Clean Data - Data Science Strategies for Tackling Dirty Data 下载 mobi epub pdf txt 电子书

著者简介

Megan Squire is a professor of computing sciences at Elon University. She has been collecting and cleaning dirty data for two decades. She is also the leader of FLOSSmole.org, a research project to collect data and analyze it in order to learn how free, libre, and open source software is made.