Automated Brute Forcing on web-based login

Brute force attacks work by calculating every possible combination that could make up a password and testing it to see if it is the correct password. As the password&...

Linear Regression (Python Implementation)

This article discusses the basics of linear regression and its implementation in Python programming language. Linear regression is a statistical approach for modellin...

Analysis of test data using K-Means Clustering in Python

This article demonstrates an illustration of K-means clustering on a sample random data using open-cv library. Pre-requisites: Numpy, OpenCV, matplot-lib Let’...

Linear Regression Using Tensorflow

Prerequisites We will briefly summarize Linear Regression before implementing it using Tensorflow. Since we will not get into the details of either Linear Regression ...

Understanding Logistic Regression

Pre-requisite: Linear Regression This article discusses the basics of Logistic Regression and its implementation in Python. Logistic regression is basically a supervi...

K means Clustering – Introduction

We are given a data set of items, with certain features, and values for these features (like a vector). The task is to categorize those items into groups. To ach...

Python Decision Tree Regression using sklearn

Decision Tree is a decision-making tool that uses a flowchart-like tree structure or is a model of decisions and all of their possible results, including outcomes, in...

Python Implementation of Polynomial Regression

Polynomial Regression is a form of linear regression in which the relationship between the independent variable x and dependent variable y is modeled as an nth degre...

Principal Component Analysis with Python

Principal Component Analyis is basically a statistical procedure to convert a set of observation of possibly correlated variables into a set of values of linearly unc...

Saving a machine learning Model

In machine learning, while working with scikit learn library, we need to save the trained models in a file and restore them in order to reuse it to compare the model ...