Password Strength Classifier

Original Dataset

Original Dataset

Feature Engineering

Feature Engineering

Dataset after Feature Engineering

Wrangled Dataset

Exploratory Data Analysis - Distributions

Exploratory Data Analysis - Distributions

Parameter Tuning for Naïve bayes Classifier

Parameter Tuning for Naïve bayes Classifier

Parameter Tuning for SVM Classifier

Parameter Tuning for SVM Classifier

Parameter Tuning for Random Forest Classifier

Parameter Tuning for Random Forest Classifier

Comparing metrics of all Classifiers

Comparing metrics of all Classifiers

Using Polls for Strength Prediction

Using Polls for Strength Prediction

Project information

  • Category: Data Analytics and Machine Learning
  • Audience: Security Audit Firms
  • GitHub:

For every organization, security is the primary concern, and to ensure security they must ensure there is no way unauthorized personnel or entity can access their system. Each employee working in that organization is responsible to ensure safety. An outside entity obtaining the password of an employee is a nightmare for any organization.

In this web-app, I have provided the audience the freedom of creating & tuning the model as they want, then predicting using their own optimized model. The final prediction is established by majority voting (polls) by all classifiers.