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.

Date Created 2019-02-19 (5 years ago)

Commits 13 (last one about a year ago)

Stargazers 678 (1 this week)

Watchers 15 (0 this week)

Forks 256

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these ashishpatel26/Amazing-Feature-Engineering is ranked #72,655 (88th percentile) for total stargazers, and #146,501 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,535/17,543.

ashishpatel26/Amazing-Feature-Engineering is also tagged with popular topics, for these it's ranked: deep-learning (#1,715/8512), machine-learning (#1,712/8063), data-science (#507/2138), data-visualization (#226/922), data-analysis (#167/671), scikit-learn (#106/353), data-mining (#65/292), feature-engineering (#33/113)

Other Information

ashishpatel26/Amazing-Feature-Engineering has 1 open pull request on Github, 1 pull request has been merged over the lifetime of the repository.

All Topics

features data-mining data-science scikit-learn data-analysis deep-learning data-scientists feature-scaling machine-learning feature-selection data-visualization feature-extraction feature-engineering

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Recent Commit History

5 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-12-20 @ 07:24am, id: 171455943 / R_kgDOCjg1xw