Update README.md

Password Strength Classification/README.md

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 # **Password Strength Classification**
+Password strength is a measure of the effectiveness of a password against guessing or brute-force attacks. 
+- In its usual form, it estimates how many trials an attacker who does not have direct access to the password would need, on average, to guess it correctly.
+- The strength of a password is a function of length, complexity, and unpredictability.
+
+- Using strong passwords lowers overall risk of a security breach, but strong passwords do not replace the need for other effective security controls.
+-  The effectiveness of a password of a given strength is strongly determined by the design and implementation of the factors (knowledge, ownership, inherence). 
 
 
-**GOAL**
 
+**GOAL**
 
+In this project we will classify strength of password as three values(0 , 1 , 2) i.e. 0 for weak, 1 for medium, 2 for strong using machine learning algorithm.
 
 **DATASET**
 
-Dataset can be downloaded from [here]().
+Dataset can be downloaded from [here](https://www.kaggle.com/bhavikbb/password-strength-classifier-dataset).
 
 **WHAT I HAVE DONE**
 - Step 1: Data Preprocessing & Exploration
@@ -21,6 +28,4 @@ Dataset can be downloaded from [here]().
 **LIBRARIES NEEDED**
 - pandas
 - numpy
-- matplotlib
-- seaborn
 - sklearn (For data traning, importing models and performance check)