Ensemble methods combine multiple classifiers into a single output. Some ensemble methods may combine different types of classifiers, but the ones we will focus on here combine multiple iterations of the same type of classifier. These methods belong to a family of ensemble methods called “Perturb and Combine”. Perturb and Combine Some methods of classification […]
In this R tutorial, we are going to be training a decision tree on the “adult” dataset hosted on UCI’s machine learning repository. In this dataset, there are 15 variables, and 32561 observations. I have prepared a tutorial on how I cleaned and blocked the data to prepare it for model building. I will start […]
Artificial Neural Networks are methods of classification and/or regression meant to emulate our belief about how a brain or nervous system functions. There exists a network of nodes, or neurons, in which various input values are calculated on. If the end value matches some condition, the neuron fires. Network topology refers to the structure of […]