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GitHub / ritu-thombre99 / Feature-selection-using-Genetic-Algorithm-for-Random-Forest-Classifier-

This project involved implementation of genetic algorithm for feature selection which were then passed to random forest classifier to predict trading position for day trading in Equity stock markets to provide an alternate method for current method used in buy and sell model.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ritu-thombre99%2FFeature-selection-using-Genetic-Algorithm-for-Random-Forest-Classifier-
PURL: pkg:github/ritu-thombre99/Feature-selection-using-Genetic-Algorithm-for-Random-Forest-Classifier-

Stars: 4
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 2 MB
Dependencies parsed at: Pending

Created at: almost 5 years ago
Updated at: over 1 year ago
Pushed at: almost 5 years ago
Last synced at: 4 months ago

Topics: buy-and-sell, buy-and-sell-model, genetic-algo-for-feature-selection, genetic-algorithm, random-forest, random-forest-regression

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