EDA Packages

import pandas as pd import numpy as np import random

Machine Learning Packages

from sklearn.feature_extraction.text import CountVectorizer from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split

pswd_data = pd.read_csv("cleanpasswordlist.csv")

pswd_data.head() pswd = np.array(pswd_data)

Shuffle data

random.shuffle(pswd)

Grouping our data into features and labels

y = labels

ylabels = [s[2] for s in pswd] allpasswords = [s[1] for s in pswd] ylabels len(ylabels) len(allpasswords) def makeTokens(f): tokens = [] for i in f: tokens.append(i) return tokens

vectorizer = TfidfVectorizer(tokenizer=makeTokens) X = vectorizer.fit_transform(allpasswords) X_train, X_test, y_train, y_test = train_test_split(X, ylabels, test_size=0.2, random_state=42)

logit = LogisticRegression(penalty='l2',multi_class='ovr')
logit.fit(X_train, y_train)

print("Accuracy :",logit.score(X_test, y_test)) X_predict = ['password', 'pYthon' 'faizanahmad', 'password##', 'ajd1348#28t**', 'ffffffffff', 'kuiqwasdi', '123456', 'abcdef']

X_predict = vectorizer.transform(X_predict) y_Predict = logit.predict(X_predict) print(y_Predict)

New_predict = ["1qaz2wsx", "306187mn", "rados1#@1$#@$@$#@$", "newyork911", "abc123", "taqiyudin100587", "wjr5443", "nana0428"]

New_predict = vectorizer.transform(New_predict) y_Predict = logit.predict(New_predict) print(y_Predict)

vectorizer = TfidfVectorizer()

Store vectors into X variable as Our X allpasswords

X1 = vectorizer.fit_transform(allpasswords)

X_train, X_test, y_train, y_test = train_test_split(X1, ylabels, test_size=0.2, random_state=42)

logit = LogisticRegression(penalty='l2',multi_class='ovr')
logit.fit(X_train, y_train) print("Accuracy :",logit.score(X_test, y_test)) X_predict1 = ['password', 'pYthonqwas' 'faizanahmad', 'password##', 'ajd1348#28t**', 'ffffffffff', 'kuiqwasdi', '123456', 'abcdef']

X_predict1 = vectorizer.transform(X_predict1) y_Predict1 = logit.predict(X_predict1) print(y_Predict1) New_predict2 = ["1qaz2wsx", "306187mn", "rados1", "newyork911", "abc123", "taqiyudin100587", "wjr5443", "nana0428"]

New_predict2 = vectorizer.transform(New_predict2) y_Predict2 = logit.predict(New_predict2) print(y_Predict2)

aditya109 commented 3 years ago

Hi @abhikumar002 ! Could you implement this in a python file as well.

abhikumar002 commented 3 years ago

@aditya109. Okk, I try my best. But I also add file in your directory in python basis .