Aug. 23, 2023, 11:24 p.m. | Jonte Dancker

Towards Data Science - Medium towardsdatascience.com

And why you should start using them.

Photo by Sigmund on Unsplash

Have you ever trained a machine learning model and your predictions looked too good to be true? But then you realized that you had some data leakage between your training and testing data?

Or have you had many pre-processing steps to prepare your data so that it was difficult to transfer the pre-processing steps from your model training into production to make actual predictions?

Or your pre-processing becomes …

data science learning-to-code machine learning pipeline scikit-learn

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Data Engineer

@ Kaseya | Bengaluru, Karnataka, India