- Data Science Projects with Python
- Stephen Klosterman
- 90字
- 2021-06-11 13:29:08
Chapter 1:
Data Exploration and Cleaning
Learning Objectives
By the end of this chapter, you will be able to:
- Perform basic operations in Python
- Describe the business context of the case study data and its suitability for the task
- Perform data cleaning operations
- Examine statistical summaries and visualize the case study data
- Implement one-hot encoding on categorical variables
This chapter will get you started with basic operations in Python and shows you how to perform data-related operations such as data verification, data cleaning, datatype conversion, examining statistical summaries, and more.
推薦閱讀
- 企業(yè)數(shù)字化創(chuàng)新引擎:企業(yè)級(jí)PaaS平臺(tái)HZERO
- 正則表達(dá)式必知必會(huì)
- Python金融大數(shù)據(jù)分析(第2版)
- Access 2007數(shù)據(jù)庫(kù)應(yīng)用上機(jī)指導(dǎo)與練習(xí)
- 算法與數(shù)據(jù)中臺(tái):基于Google、Facebook與微博實(shí)踐
- Neural Network Programming with TensorFlow
- Spark大數(shù)據(jù)編程實(shí)用教程
- Proxmox VE超融合集群實(shí)踐真?zhèn)?/a>
- 云數(shù)據(jù)中心網(wǎng)絡(luò)與SDN:技術(shù)架構(gòu)與實(shí)現(xiàn)
- 科研統(tǒng)計(jì)思維與方法:SPSS實(shí)戰(zhàn)
- HikariCP連接池實(shí)戰(zhàn)
- 數(shù)據(jù)修復(fù)技術(shù)與典型實(shí)例實(shí)戰(zhàn)詳解(第2版)
- 聯(lián)動(dòng)Oracle:設(shè)計(jì)思想、架構(gòu)實(shí)現(xiàn)與AWR報(bào)告
- 數(shù)據(jù)庫(kù)與數(shù)據(jù)處理:Access 2010實(shí)現(xiàn)
- Expert Python Programming(Third Edition)