GitHub / ashishpatel26 / Amazing-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.
Stars: 715
Forks: 263
Open issues: 1
License: None
Language: Jupyter Notebook
Size: 1.26 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: 5 days ago
Pushed at: 11 months ago
Last synced at: 1 day ago
Topics: data-analysis, data-mining, data-science, data-scientists, data-visualization, deep-learning, feature-engineering, feature-extraction, feature-scaling, feature-selection, features, machine-learning, scikit-learn