Posts

Showing posts with the label Decision tree

Gradient boosting with R and Python

Cost-Sensitive Learning (slides)

Hyper-threading and solid-state drive

Random Forest - Boosting with R and Python

Bagging, Random Forest, Boosting (slides)

Clustering tree (slides)

Decision tree learning algorithms

Introduction to Decision Trees

Revolution R Community 5.0

Tanagra - Version 1.4.45

Using PDI-CE for model deployment (PMML)

Sipina - Version 3.8

Dealing with very large dataset (continuation)

Decision tree and large dataset (continuation)

New GUI for RapidMiner 5.0

Data Mining with R - The Rattle Package

Creating reports with Tanagra

Multithreading for decision tree induction

Connecting Sipina and Excel using OLE

Interactive decision tree learning with Spad