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GitHub / sandipanpaul21 / Logistic-regression-in-python

Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information Value

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandipanpaul21%2FLogistic-regression-in-python

Stars: 5
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 29.4 MB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: over 2 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago

Topics: elastic-net-regression, information-value, l1-regularization, l2-regularization, lasso-regression, logistic-regression, logistic-regression-assumptions, multiclass-logistic-regression, regularization, ridge-regression, weight-of-evidence

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