In the data science course that I teach for General Assembly, we spend a lot of time using scikit-learn, Python’s library for machine learning. I love teaching scikit-learn, but it...continue reading.
Category: Machine learning
Cubist is a tree-based model with a OLS regression attached to each terminal node and is somewhat similar to mob() function in the Party package (https://statcompute.wordpress.com/2014/10/26/model-segmentation-with-recursive-partitioning). Below is a demonstrate...continue reading.
While coding ensemble methods in data mining with R, e.g. bagging, we often need to generate many data and models objects with sequential names. Below is a quick example how...continue reading.
On 06/23, I posted two SAS macros implementation GRNN (https://statcompute.wordpress.com/2013/06/23/prototyping-a-general-regression-neural-network-with-sas). However, in order to use these macros in the production environment, we still need a scheme to automatically choose the...continue reading.
Last time when I read the paper “A General Regression Neural Network” by Donald Specht, it was exactly 10 years ago when I was in the graduate school. After reading...continue reading.
The feed-forward neural network is a very powerful classification model in the machine learning content. Since the goodness-of-fit of a neural network is majorly dominated by the model complexity, it...continue reading.
In the practice of risk modeling, it is sometimes mandatory to maintain a monotonic relationship between the response and each predictor. Below is a demonstration showing how to develop a...continue reading.