# Month: December 2020 ## Logistic Regression

Introduction to Logistic Regression Logistic Regression in Machine Learning is a statistical method for predicting results in discrete values. Logistic Regression is mainly used for classification problems. The output of a Logistic regression model is a probability. It uses the variables in a categorical way, not continuous. i.e., High or low, 0 Or 1, True or … ## Cryptography Concepts in Blockchain

What is Cryptography? Cryptography is the method of developing techniques to secure data in communication between peers through the code. This technique can increase the data integrity of the blockchain network. The prefix “crypt-” means “hidden” or “vault” — and the suffix “-graphy” stands for “writing.” Here are important terms to know: Encryption– It is the … ## Concepts in Data Structures

DATA STRUCTURES  AND ALGORITHMS:   In the previous article, we saw some basic concepts about  Data structures and Algorithms such as What is data structure?, What is Algorithms?, What is an analysis of algorithms? etc Here, we are going to see a few more interesting concepts of Data structures and Algorithms. RATE OF GROWTH COMMONLY … ## Linear Regression using sklearn

Simple Linear Regression using scikit-learn Linear Regression is a statistical model used to predict the linear relationship between two or more variables. Here we are going to demonstrate the linear Regression model using the Scikit-learn library in Python. Scikit-learn also defined as sklearn is a python library with a lot of efficient tools for machine learning … ## Introduction to Data structures and Algorithms

Data Structures  Data structures are a particular way of storing and organizing data in a computer so that it can be used efficiently. A data structure is a special format for organizing and storing data. Those data structure types include arrays, linked lists, stacks, queues, trees, graphs, and so on. Depending on the organization of …