Contents: Introduction XGBoost - An Implementation of Gradient Boosting Load And Explore The Data Hyperparameters Training The Model: Or, how I learned to stop overfitting and love the cross-validation Making Predictions Conclusion 1 Introduction XG... [Read more...]

In this post we'll talk about what the Central Limit Theorem is, why it's important, and how we can see it in action, using R.

# Libraries used in this article:
library(ggplot2)
library(ggthemes)
library(stringr)

# Theme used for graphing:
theme_set(theme_economist())

Table of Contents Introduction - What is the Central Limit Theorem? Why is it important? Let's see it in action 1. Introduction - What is ... [Read more...]

1. Introduction In this post we discuss the H2O machine learning platform. We talk about what H2O is, and how to get started with it, using R - we create a Random Forest which we use to classify the Iris Dataset. 2. What is H2O? The definition foun... [Read more...]