Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
created at Sept. 14, 2015, 4:13 p.m.
Example code and materials that illustrate using neural networks with several hidden layers in SAS.
created at May 8, 2015, 3:20 p.m.
Example code and materials that illustrate techniques for integrating SAS with popular open source analytics technologies like Python and R.
created at April 9, 2015, 8:36 p.m.
Example code and materials that illustrate applications of SAS machine learning techniques.
created at May 8, 2015, 3:20 p.m.
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
created at Sept. 9, 2016, 8:42 p.m.
PredictionIO, a machine learning server for developers and ML engineers.
created at Jan. 25, 2013, 7:42 p.m.
Current version of the SuperLearner R package
created at April 16, 2011, 5:18 a.m.
Code accompanying the book "Machine Learning for Hackers"
created at Feb. 10, 2012, 3 a.m.
list of anything (Community driven list of anything) text :)
created at June 21, 2014, 2:22 p.m.
A Seriously Fun guide to Big Data Analytics in Practice
created at March 17, 2012, 1:30 a.m.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
created at Jan. 23, 2015, 7:38 p.m.