Category: machine learning

A downside of K-Nearest Neighbors is that you need to hang on to your entire training dataset. The Learning Vector Quantization algorithm (or LVQ for short) is an artificial …

The KNN algorithm is very simple and very effective. The model representation for K-Nearest Neighbors Algorithm is the entire training dataset. Simple right? Predictions are made for a new …

Naive Bayes is a simple but surprisingly powerful algorithm for predictive modeling. The model is comprised of two types of probabilities that can be calculated directly from your training …

Decision Trees are an important type of algorithm for predictive modeling machine learning. The representation for the decision tree model is a binary tree. This is your binary tree …

Logistic Regression is a classification algorithm traditionally limited to only two-class classification problems. If you have more than two classes then the Linear Discriminant Analysis algorithm is the preferred …