In this R tutorial we will analyze data from the Wisconsin breast cancer dataset. The k-NN algorithm will be implemented to analyze the types of cancer for diagnosis. Nearest Neighbor is defined by the characteristics of classifying unlabeled examples by assigning then the class of similar labeled examples (tomato – is…

# Algorithm

Learn about Apriori Algorithm, Artificial Neural Networks Algorithm, Decision Trees Algorithm, K Means Clustering Algorithm, K-nearest Neighbors Algorithm, Linear Regression Algorithm, Logistic Regression Algorithm, Naive Bayes Classifier Algorithm, Random Forests Algorithm, and Support Vector Machine Algorithm.

Consider big data and algorithms when thinking of supercomputers. They contemplate the largest and most powerful computers in the world processing billions of numbers and then creating a valuable output that a company then uses. While this illustration is close to the ideal of the big data-supercomputer relationship, it is…

In this R tutorial, we will be estimating the quality of wines with regression trees and model trees. Machine learning has been used to discover key differences in the chemical composition of wines from different regions or to identify the chemical factors that lead a wine to taste sweeter. In…

About two hundred years ago the notable industrial revolution immutably and significantly remolded our society. Today, however, another revolution is unfolding that has potentially further reaching ramifications. According to experts, artificial intelligence is going to significantly change and alter the way humans manufacture, produce and deliver. In other words, it…

This R tutorial determines SMS text messages as HAM or SPAM via the Naive Bayes algorithm. The purpose of this report is to review SMS data and confirm what is actually ham and what is classified as spam. In order to complete the report, the Naive Bayes algorithm will be…