Now we move on to the second part of the Exercise 5.2, which requires to implement regularized logistic regression using Newton’s Method. Plot the data:
Posts Tagged ‘ Classification ’
Machine Learning Ex4 – Logistic Regression
Exercise 4 required implementing Logistic Regression using Newton’s Method. The dataset in use is 80 students and their grades of 2 exams, 40 students were admitted to college and the other 40 students were not. We need to implement a binary classification model to estimates college admission based on the student’s scores on these two...
Classification Trees using the rpart function
In a previous post on classification trees we considered using the tree package to fit a classification tree to data divided into known classes. In this post we will look at the alternative function rpart that is available within the base R distribution. Fast Tube by Casper A classification tree can be fitted using the rpart...
Classification Trees
Decision trees are applied to situation where data is divided into groups rather than investigating a numerical response and its relationship to a set of descriptor variables. There are various implementations of classification trees in R and the some commonly used functions are rpart and tree. Fast Tube by Casper To illustrate the use of the...
Social Media Analytics Research Toolkit (SMART@znmeb) Is Moving Into Private Beta
Download "Getting Started with the Social Media Analytics Research Toolkit" (pdf, 1.25 megabytes) Download the Social Media Analytics Research Toolkit My Social Media Analytics Research Toolkit is about to move into private beta. What's in the release?...
Data Visualization and R Programming Books (Updated)
Download "Getting Started with the Social Media Analytics Research Toolkit" (pdf, 1.25 megabytes) Download the Social Media Analytics Research Toolkit Download Code Like A Pirate - The #rstats Appliance from the SUSE Gallery Disclosure As you probably ...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).