A Short Introduction: Bagging and Random Forest
Random Forest is one of the most popular and most powerful machine learning algorithms. It is a type of ensemble machine learning algorithm called Bootstrap Aggregation or bagging. The …
Tag: short introduction
A Short Introduction: Support Vector Machines
Support Vector Machines are perhaps one of the most popular and talked about machine learning algorithms. A hyperplane is a line that splits the input variable space. In Support …
A Short Introduction to K-Nearest Neighbors Algorithm
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 …
A Short Introduction to Naive Bayes Algorithm
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 …
A Short Introduction: Classification and Regression Trees
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 …
