## Raft Consensus Algorithm

This article will help you give a brief history about Raft, what is consensus, what is the RAFT protocol, what are the advantages, how is… Read More »

- Getting started with Machine Learning
- Linear Regression (Python Implementation)
- Understanding Logistic Regression
- K means Clustering - Introduction
- Supervised and Unsupervised learning
- K-Nearest Neighbours
- Decision Tree
- Removing stop words with NLTK in Python
- Artificial Intelligence | An Introduction
- Lowest Common Ancestor in a Binary Tree | Set 3 (Using RMQ)
- Difference between Machine learning and Artificial Intelligence
- Confusion Matrix in Machine Learning
- Decision tree implementation using Python
- Classifying data using Support Vector Machines(SVMs) in Python
- ML | Types of Learning - Part 2
- ML | What is Machine Learning ?
- Introduction To Machine Learning using Python
- Apriori Algorithm
- Reinforcement learning
- Clustering in Machine Learning
- Demystifying Machine Learning
- An introduction to Machine Learning
- Multivariate Regression
- Decision Tree Introduction with example
- ML | Introduction to Data in Machine Learning
- Machine Learning - Applications
- Data Mining
- Data Warehousing
- Learning Model Building in Scikit-learn : A Python Machine Learning Library
- Underfitting and Overfitting in Machine Learning

This article will help you give a brief history about Raft, what is consensus, what is the RAFT protocol, what are the advantages, how is… Read More »

Background subtraction is a technique for separating out foreground elements from the background and is done by generating a foreground mask. This technique is used… Read More »

Python is open source, interpreted, high level language and provides great approach for object-oriented programming. It is one of the best language used by data… Read More »

In MATLAB, a Grayscale image is a 2-D Image array ( M*N ) of color pixel. When we complement colors in a Grayscale image, Each… Read More »

In machine learning, we usually deal with datasets which contains multiple labels in one or more than one columns. These labels can be in the… Read More »

What is convolution in 2D? Image is denoted as matrix inside computer. An image contains a lot of features like edge, contrast etc. In image… Read More »

Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of… Read More »

AI (Artificial Intelligence) is ahead of all of us, it’s ready to enter our day to day lives and is already being used in a… Read More »

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… Read More »

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… Read More »

Fractal: A fractal is a curve or geometrical figure, each part of which has the same statistical character as the whole. They are useful in… Read More »

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… Read More »

Boston Housing Data: This dataset was taken from the StatLib library and is maintained by Carnegie Mellon University. This dataset concerns the housing prices in… Read More »

Normal Equation is an analytical approach to Linear Regression with a Least Square Cost Function. We can directly find out the value of θ without… Read More »

Prerequisite: Simple Linear-Regression using R Linear Regression: It is the basic and commonly used used type for predictive analysis.It is a statistical approach for modelling… Read More »