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tenthplanet_blog_pentaho_Obtaining-Accurate-Predictions--using-Ensemble-Learning-Techniq

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

tenthplanet_blog_pentaho_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.

tenthplanet_blog_pentaho_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.

tenthplanet_blog_pentaho_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.

tenthplanet_blog_pentaho_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.

tenthplanet_blog_pentaho_Using-Logistic-Regression-to-predict-Loan-Defaults

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