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K Nearest Neighbor : Step by Step Tutorial

In this article, we will cover how K-nearest neighbor (KNN) algorithm works and how to run k-nearest neighbor in R. It is one of the most w...

This tutorial explains the concept of bias-variance tradeoff in machine learning. It is one of the most commonly confused term in predictiv...

This tutorial explains various ensemble methods in R. Ensembling is one of the most popular method to build accurate predictive models. W...

In Stochastic Gradient Boosting Tree models, we need to fine tune several parameters such as n.trees, interaction.depth, shrinkage and n.m...

In predictive modeling, dimensionality reduction or dimension reduction is the process of reducing the number of irrelevant variables. It i...

In this article, we will show you how to make predictions in R with different machine learning models. We will cover a variety of models, in...

This tutorial explains how to apply weights in Decision Tree and Support Vector Machine models in R to handle rare event (or class imbalance...

If you want to create a random forest model with 500 trees, and your computer has 2 cores, you can execute the randomForest function parall...

Random Forest is very popular as a variable selection technique. However, it has some drawbacks as well (listed below) : 1. If independ...

There are several ways by which you can overcome class imbalances problem in a predictive model. 1. Adjusting Prior Probabilities P...

Calculating variable importance with Random Forest is a powerful technique used to understand the significance of different variables in a p...

In random forest, you can perform oversampling of events without data loss. There are 2 functions in randomForest package for sampling ...

In most of the predictive model techniques, it is required to impute missing values before training a predictive model. There is a way you ...

In R, there is a package called caret which stands for Classification And REgression Training. It makes predictive modeling easy. It can ru...

In this article, we will cover the concepts of bagging and boosting. It also includes how Stochastic Gradient Boosting works. Ensemble l...