Book Image

Data Wrangling with Python 3.x [Video]

By : Jamshaid Sohail
Book Image

Data Wrangling with Python 3.x [Video]

By: Jamshaid Sohail

Overview of this book

You might be working in an organization, or have your own business, where data is being generated continuously (structured or unstructured) and you are looking to develop your skillset so you can jump into the field of Data Science. This hands-on guide shows programmers how to process information. In this course, you will gather data, prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, and more! This course will equip us with the tools and technologies, also we need to analyze the datasets using Python so that we can confidently jump into the field and enhance our skill set. The best part of this course is the takeaway code templates generated using the real-life dataset. Towards the end of the course, we will build an intuitive understanding of all the aspects available in Python for Data Wrangling. All codes and supporting files are placed on GitHub at this link: https://github.com/PacktPublishing/-Data-Wrangling-with-Python-3.x
Table of Contents (7 chapters)
Chapter 5
More Data Cleaning and Transformation
Content Locked
Section 4
Rescale/Standardize Column Values
Rescaling is mapping the numeric values in a column to (0 to 1) range and it helps machine learning algorithms to converge faster. Standardization helps to map column values in such a way that they have mean of zero and standard deviation of one. This helps to compare feature along different scales. - Rescale a column using the MinMaxScaler of pre-processing module and this we will look into the results - Standardize a column using the StandardScaler class of pre-processing module. And then we will look into the results