General grab-bag repository of Machine Learning tools, utilities, workflows, and benchmarks. This is a general collection of software I have accumulated over the course of my work and research, and I have made it available to the community for feedback and learning purposes.
- Download the Code and follow the standard instructions on how to install the framework/library.
- If you found a bug, open an issue and please provide detailed steps to reliably reproduce it.
- If you have feature request, open an issue.
- If you would like to contribute, please submit a pull request.
The basic requirements for the software are:
You will also need a reasonably modern computer and operating system that can support the above.
R is required for running some of the scripts. A lot of the classifiers are available in other libraries and platforms such as Weka, but I used R so that I could get a good idea of how a given algorithm works.
CRAN is required to support R as most of the classifiers are not available in a default plain-vannilla R installation.
ggplot is used to plot results, but also to make them look good! :)
R is great, but I wanted to learn Python a little better, so in some cases I chose to go with Python just because it could teach me something new.
Contact Camilo Valdes for pull requests, bug reports, good jokes and coffee recipes.
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The software in this repository is available under the GNU General Public License. See the LICENSE file for more information.