Repository of teaching materials, code, and data for my data analysis and machine learning projects.
© 2016 - current, Randal S. Olson
This is a repository of teaching materials, code, and data for my data analysis and machine learning projects.
Each repository will (usually) correspond to one of the blog posts on my web site.
Be sure to check the documentation (usually in IPython Notebook format) in the directory you're interested in for the notes on the analysis, data usage terms, etc.
If you don't have the necessary software installed to run IPython Notebook, don't fret. You can use nbviewer to view a notebook on the web.
For example, if you want to view the notebook in the
wheres-waldo-path-optimizationdirectory, copy the full link to the notebook then paste it into nbviewer.
All instructional material in this repository is made available under the Creative Commons Attribution license. The following is a human-readable summary of (and not a substitute for) the full legal text of the CC BY 4.0 license.
You are free to:
for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
No additional restrictions—You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.