GitHub / rakibhhridoy / MachineLearning-FeatureSelection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
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PURL: pkg:github/rakibhhridoy/MachineLearning-FeatureSelection
Stars: 1
Forks: 1
Open issues: 0
License: None
Language: Python
Size: 1000 Bytes
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: almost 5 years ago
Pushed at: almost 5 years ago
Last synced at: 2 months ago
Topics: extratreesclassifier, feature-selection, gridsearchcv, lasso-regression, logistic-regression, machine-learning, numpy, pandas, pca, rfe, rfecv, scikit-learn, selectkbest