Appendix A. A List of Links
The following is a list of links that have been referenced throughout the chapters in this book:
Link to the datasets used in the book:
https://goo.gl/zjS4C6
Info on predictive modelling:
http://aci.info/2014/07/12/the-data-explosion-in-2014-minute-by-minute-infographic/
http://www.bbc.com/news/business-26383058
UCI Machine Learning Library of datasets:
http://archive.ics.uci.edu/ml/
Scikit-learn official website:
http://scikit-learn.org/stable/
Pandas documentation:
http://pandas.pydata.org/pandas-docs/stable/tutorials.html
An Introduction to Statistical Learning:
http://www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20Printing.pdf
Analytics Vidhya blog:
http://www.analyticsvidhya.com/
Kaggle blog:
http://blog.kaggle.com/
Hierarchical clustering PPT, San Jose State University:
http://goo.gl/p4kSxv
Decision tree learning material, Carnegie Mellon University:
http://www.cs.cmu.edu/afs/cs/project/theo-20/www/mlbook/ch3.pdf
Biostatistics Course BIOST 515, Washington University:
http://courses.washington.edu/b515/l13.pdf
http://courses.washington.edu/b515/l12.pdf
Scipy documentation:
http://www.scipy.org/docs.html
Matplotlib documentation:
http://matplotlib.org/