Classification based machine learning algorithm to classify the strength of passwords within predefined categories.
Decision tree classifier and logistic regression clasifier is used for this particular problem.
Decision tree performs well with the accuracy score of 99.97% where logistic regression with 81.94%.
The data set is used is from Kaggle.com contain 0.7 million password samples preprocessed with the tool called PARS by Georgia Tech University. to download dataset you can use this link https://www.kaggle.com/bhavikbb/password-strength-classifier-dataset or can directly download from file section as well.
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