https://github.com/reddyprasade/feature-engineering

The purpose of a feature, other than being an attribute, would be much easier to understand in the context of a problem. A feature is a characteristic that might help when solving the problem. Discover the most effective way to improve your models.
https://github.com/reddyprasade/feature-engineering

feature-detection feature-engineering feature-extraction feature-selection

Last synced: 3 months ago
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The purpose of a feature, other than being an attribute, would be much easier to understand in the context of a problem. A feature is a characteristic that might help when solving the problem. Discover the most effective way to improve your models.

• Host: GitHub
• URL: https://github.com/reddyprasade/feature-engineering
• Owner: reddyprasade
• License: mit
• Created: 2020-06-24T07:18:23.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-06-24T07:21:55.000Z (almost 6 years ago)
• Last Synced: 2025-01-19T09:41:57.283Z (over 1 year ago)
• Topics: feature-detection, feature-engineering, feature-extraction, feature-selection
• Homepage:
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Feature-Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Discover the most effective way to improve your models.you will learn a practical approach to feature engineering.

Use of Feature Engineering:

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* Develop a baseline model for comparing performance on models with more features

* Encode categorical features so the model can make better use of the information

* Generate new features to provide more information for the model

* Select features to reduce overfitting and increase prediction speed