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GitHub / VaibhavAbhimanyooHiwase / Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VaibhavAbhimanyooHiwase%2FRisk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance

Stars: 12
Forks: 6
Open issues: 0

License: None
Language: Python
Size: 8.22 MB
Dependencies parsed at: Pending

Created at: almost 7 years ago
Updated at: about 1 year ago
Pushed at: almost 7 years ago
Last synced at: 6 months ago

Topics: alpha-value, backward-elimination, data-mining-algorithms, data-science, insurance, kaggle-life-insurance, life-insurance, multiple-linear-regression, p-value, random-forest, risk-analysis, risk-assessment, risk-calculations, risk-modelling, risk-models, statistical-analysis, statistical-data, statistical-learning, statistical-models, statistics

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