Cleaning data in Python   Table of Contents Set up environments Data analysis packages in Python Clean data in Python Load dataset into Spyder Subset Drop data Transform data Create new variables Rename variables Merge two datasets Handle missing val…

Are you a interested in taking a course with us? Learn about our programs or contact us at hello@zipfianacademy.com. There are plenty of articles and discussions on the web about what data science is, what qualitiesdefine a data scientist, how to nur…

In my last article, I stated that for practitioners (as opposed to theorists), the real prerequisite for machine learning is data analysis, not math. One of the main reasons for making this statement, is that data scientists spend an inordinate amoun…

CS100.1x简介 这门课主要讲数据科学,也就是data science以及怎么用Apache Spark去分析大数据. Course Software Setup 这门课主要介绍如何编写和调试PySpark.本节主要介绍环境搭配.为了让所有人环境一致,本课程的编程环境是用Virtual Machine.你需要安装VirtualBox和Vagrant来搭环境. 硬件和软件要求 这门课需要的最小硬件配置如下: 硬盘空间: 3.5 GB 内存: 2.5 GB (4+ GB 更好) 处理器: 任何I…

数据仓库初体验 数据库仓库架构以前弄的很简单:将各种源的数据统一汇聚到DW中,DW没有设计,只是将所有数据汇聚起来: ETL也很简单,只是将数据同步到DW中,只是遇到BUG时,处理一些错误数据,例如:字符串中有分隔符,有回车等等. 仔细看了一些概念后,发现DW是需要经过仔细的设计架构的,下面还是纪录,其中很多架构设计部分还是不理解,ETL中的Transform也需要研究,后续其他帖子详细记录. ---------------------------------------------------…

A Small Definition of Big Data The term "big data" seems to be popping up everywhere these days. And there seems to be as many uses of this term as there are contexts in which you find it: 'big data' is often used to refer to any dataset that is…

数据映射:根据数据的结构信息建立数据间的映射操作机制. 数据映射的要素: 一.数据 1.源数据: 2.目标数据: 3.数据间关系: 4.数据的元数据(结构信息). 5.元素类型的对应关系. 二.元数据的获取: 1.描述文件:coredata的momd文件,数据库的表结构: 2.结构信息:使用运行时的反射或格式信息的内存读取获取. 三.映射操作: 1.硬编码进行格式转换. 2.根据元数据信息直接内存写入: 3.根据元数据信息kvc写入: 4.需要针对不同的数据类型(主要是非原生类型)做不同的操作.…

Recovery Types of Failures Wrong data entry Prevent by having constraints in the database Fix with data cleaning Disk crashes Prevent by using redundancy (RAID, archive) Fix by using archives Fire, theft, bankruptcy… Buy insurance, change profession……

Chapter 1 data mining is knowledge discovery from data; The knowledge discovery process is an iterative sequence of 7 steps: data cleaning: to remove noise and inconsistent data data integration: where multiple data sources may be combined (step1 and…

Awesome系列的Java资源整理.awesome-java 就是akullpp发起维护的Java资源列表,内容包括:构建工具.数据库.框架.模板.安全.代码分析.日志.第三方库.书籍.Java 站点等等. 经典的工具与库 (Ancients) In existence since the beginning of time and which will continue being used long after the hype has waned. Apache Ant - Build…