Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby
created at Dec. 6, 2009, 9:59 p.m.
A general classifier module to allow Bayesian and LSI classifications.
created at May 5, 2008, 5:24 p.m.
JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby.
created at Nov. 15, 2012, 10:29 p.m.
Some Machine Learning algorithms, implemented in Ruby
created at Jan. 9, 2012, 2:07 p.m.
Code for the Kaggle acquire valued shoppers challenge
created at April 15, 2014, 5 a.m.
Predicting closed questions on Stack Overflow
created at Oct. 5, 2012, 4:54 p.m.
A Kaggle competition: discriminate gender based on handwriting
created at April 10, 2013, 9:34 p.m.
Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)
created at April 15, 2014, 10:14 a.m.
Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats
created at Oct. 21, 2013, 2:12 p.m.
Code for the Best Buy competition at Kaggle
created at Sept. 19, 2012, 2:38 p.m.
Predicting job salaries from ads - a Kaggle competition
created at Feb. 20, 2013, 7:27 p.m.
Code for Accelerometer Biometric Competition at Kaggle
created at Aug. 1, 2013, 2:01 p.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.