Feature engineering for machine learning: What is it?

State-of-the-art feature engineering methods and Python libraries used in data science.

feature engineering for machine learning
Feature engineering for machine learning — Created by the author

Feature engineering is the process of transforming features, extracting features, and creating new variables from the original data, to train machine learning models.

--

--

--

Data scientist, book author, online instructor (www.trainindata.com) and Python open-source developer. Get our regular updates: http://eepurl.com/hdzffv

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Predicting EPL Wins

Creating Custom Columns on Tableau.

Confusion Matrix and Cyber Attacks

7 Tips for a Successful Data Science Project in the Industry

Data Science: Data Visualisation on Javascript

What is Fleet Telematics

6 Revenue Maximizing DME/HME Billing Strategies

HME Billing

Time Series Analysis with Auto.Arima in R

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Sole from Train in Data

Sole from Train in Data

Data scientist, book author, online instructor (www.trainindata.com) and Python open-source developer. Get our regular updates: http://eepurl.com/hdzffv

More from Medium

ML model-Product Classification Challenge — Otto group

Machine Learning with Biased Data

Improved representation of data, solving the classification problem of imbalanced data

Feature Engineering for Machine Learning (2/3)

Pyramids rising up from the desert floor