March 22, 2022, 3:25 p.m. | Andrew Engel

Towards Data Science - Medium towardsdatascience.com

An alternative approach to standardization

Photo by Filip Mroz on Unsplash

One of the most common feature engineering techniques for numerical features is to standardize those features. This is often accomplished either by subtracting the mean and dividing by the standard deviation or by subtracting the minimum and dividing by the difference between the maximum and the minimum. Either of these approaches can help both in the training of the model and the evaluation of the impact of the various …

data preparation data science feature engineering features machine learning

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Tableau/PowerBI Developer (A.Con)

@ KPMG India | Bengaluru, Karnataka, India

Software Engineer, Backend - Data Platform (Big Data Infra)

@ Benchling | San Francisco, CA