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GitHub / MeredithGal / Predictive-Analytics-with-R-Programming

UNCW BAN 502 This course explores methods for model selection, parameter estimation, and validation. Focused on techniques and algorithms from the statistical and machine learning disciplines.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MeredithGal%2FPredictive-Analytics-with-R-Programming

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 11.4 MB
Dependencies parsed at: Pending

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

Topics: classification-trees, cluster-analysis-regularization, excel-data-analytics, logistic-regression, multinomial-logistic-regression, naive-bayes-principal-components-analysis, neural-networks, ordinary-least-squares-regression, r-programming, regression-trees, support-vector-machines

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