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. |
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Projects |
4 |
Lines Committed vs. Age Chart (click to view) |
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Education Resources¶
URL |
Resource Type |
Description |
|---|---|---|
Video |
Presentation at PyData Berlin 2019: “Automated feature engineering for supervised learning” |
Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
1.25 |
3.0 |
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities |
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1.5 |
6.75 |
Feature selector is a tool for dimensionality reduction of machine learning datasets. |
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4.25 |
7.5 |
An open source python library for automated feature engineering |
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2.5 |
3.5 |
TSFRESH automatically extracts 100s of features from time series. |