What is the first step in machine learning?, we’ll begin with a general introduction of machine learning models and how they’re employed. If you’ve done statistical modeling or machine learning before, this may seem...
Create contingency tables in R, Contingency tables are helpful for condensing a huge number of observations into smaller, more manageable tables. We’ll learn about contingency tables and how to make them in this R...
In this lesson, we’ll look at how to integrate R with Hadoop. For Big Data analysis, we’ll show you a variety of R and Hadoop integration strategies. When it comes to large data, R...
Logistic Regression plot in R, you will learn how to plot a Logistic Regression Curve in the R programming language in this tutorial. A supervised classification algorithm, logistic regression is. This aids in the...
Multivariate Logistic Regression in R, That’s an excellent segue into what to do when there are multiple variables. The two models we’ve looked at thus far only do single-variable logistic regression. Logistic Regression Machine...
You can override using the .groups argument., You’ll discover how to deal with the dplyr message “‘summarise()’ has grouped output by ‘gr1’.” in this post. In the R programming language, you can override using...
Detecting and Dealing with Outliers, We’re going to look a little bit more at these mammals’ sleep data. Let’s take a summary of them. library(mice) summary(mammalsleep) species bw brw African elephant : 1 Min....
Logistic regression machine learning, So now we’re going to get a little bit more maths. Let’s, for shorthand, write p of X for the probability that y is 1 given X. And we’re going...
Dealing With Missing Values in R, one of the issues is that when you have a large matrix of data and some of the columns have a few missing values, it might be difficult...
Classification Problem in Machine Learning, We’ll discuss classification in this post when the response variable contains two or more values. And, in fact, this is a very prevalent problem, perhaps even more so than...
