# Blog

## Blog

Obtaining Accurate Predictions using Ensemble Learning Techniques

Ensemble Methods mostly are used in winning machine learning competitions by devising sophisticated algorithms and producing results with high accuracy

Pattern Recognition using K-NN Algorithm

The K-Nearest Neighbors (K-NN) method of classification is one of the simplest methods in machine learning, it is essentially.

How Can Companies Utilise Random Forest algorithm to make Smart Predictions

Random Forest is a supervised learning algorithm. As mentioned in the name, it creates a forest and makes it somehow random.

Segmentation using K-Mean Algorithm

K-Means is an introductory algorithm to clustering techniques and it is the simplest of them. K-Means is an easy to implement and handy algorithm.

Dimensionality Reduction using Principal Component Analysis

Principal component analysis (PCA) is a technique used for identification of a smaller number of uncorrelated variables known as principal components from a larger set of data.

Using Logistic Regression to predict Loan Defaults

A Logistic Regression classifies observations by estimating the probability that an observation is in a particular category.