Password-classifier-using-NLP
Three models were trained for password strength classification using NLP: Model Cross Validation Accuracy XGBoost 98.58% Logistic Regression 81.96% Random Forest 94.33%
Since XGBoost had the best cross validation accuracy, it was selected as the model for this classification task.
Demonstration:
Acknowledgements:
The dataset used for training all the models was: https://www.kaggle.com/bhavikbb/password-strength-classifier-dataset
Jupyter notebooks on kaggle were used for the training of all three models.