Feature Engineering

Description

Feature engineering focuses on how to extract, select, and contruct features from raw data. Feature engineering method is depending on the dataset types. Different datasets require different approaches.

Projects

4

Lines Committed vs. Age Chart (click to view)

Lines Committed vs. Age Chart (click to view)

Education Resources

URL

Resource Type

Description

https://youtu.be/XK7mKGWSue8

Video

Presentation at PyData Berlin 2019: “Automated feature engineering for supervised learning”

Projects

Project

Size Score

Trend Score

Byline

autofeat

1.5

6.0

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Feature Selector

1.5

2.75

Feature selector is a tool for dimensionality reduction of machine learning datasets.

Featuretools

3.5

7.25

An open source python library for automated feature engineering

tsfresh

2.75

3.0

TSFRESH automatically extracts 100s of features from time series.