It is a classification problem. Employees are manually allowed or denied access to resources overtime. amazon data to predict apporval/denial for an unseen set of employees.Here im using 2 algorithms one is CatBoostClassifier and LogisticRegression. Do some visualization and some data preprocessing. And the dataset is imbalanced. and to deal with that i used random upsampling techniques.The CatBoost algorithm give good accuracy and LogisticRegression accuracy is bad.
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Amazon employee data to predict approval/ denial
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