I am unable to understand the page of the StandardScaler in the documentation of the sklearn.
Can anyone explain this to me in simple terms?
StandardScaler is used to transform your data such that its distribution will have a mean value 0 and a standard deviation of 1. It means that it fits the entire data in a particular range, so that data gets normalized. It makes model training faster due to small values.
Hope this answer helps.
Learn Scikit with the help of this Scikit Tutorial.
Certification in Digital Marketing |
Certification in Big Data Analytics |
Certification in Cloud & Devops |
Certification in Full Stack Web Development
Big Data and Data Science Master’s Course |
Data Science Architect Master’s Program |
Cloud and DevOps Architect Master’s Course |
Artificial Intelligence Engineer Master’s Course |
Microsoft Azure Certification Master’s Training
Data Science Course Online |
Big Data Hadoop Certification Training |
Machine Learning Course Online |
Artificial Intelligence Course and Training |
Salesforce Certification Training: Administrator and App Builder |
Tableau Training and Certification Course |
Python Data Science Course & Training |
Ethical Hacking Course |
Business Analyst Course |
Courses in Cyber Security
© COPYRIGHT 2011-2021 INTELLIPAAT.COM. ALL RIGHTS RESERVED.
Download Salary Trends Now !
Learn how professionals like you got up to 100% Salary Hike.