December 2016: Difference between revisions
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=Projects= | |||
Projects for the month of December: | Projects for the month of December: | ||
* Empirical model building - Github repository containing Jupyter notebooks illustrating various experimental design strategies | * Empirical model building - Github repository containing Jupyter notebooks illustrating various experimental design strategies | ||
** Website: https://charlesreid1.github.io/empirical-model-building | ** Website: https://charlesreid1.github.io/empirical-model-building | ||
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** Kaggle Notebook: Cleaning Up the Crime Scene: Parsing the Data https://www.kaggle.com/csc142/d/fbi-us/california-crime/cleaning-up-the-crime-scene-parsing-the-data | ** Kaggle Notebook: Cleaning Up the Crime Scene: Parsing the Data https://www.kaggle.com/csc142/d/fbi-us/california-crime/cleaning-up-the-crime-scene-parsing-the-data | ||
** Kaggle Notebook: California Crime Compendium: Comparing Campuses https://www.kaggle.com/csc142/d/fbi-us/california-crime/california-crime-compendium-comparing-campuses | ** Kaggle Notebook: California Crime Compendium: Comparing Campuses https://www.kaggle.com/csc142/d/fbi-us/california-crime/california-crime-compendium-comparing-campuses | ||
* Abalone Baloney - Github repository containing Jupyter notebooks applying machine learning techniques to an abalone (sea snail) data set from the UCI machine learning repository | |||
** Repository: https://github.com/charlesreid1/abalone-baloney | |||
=References= | |||
Scikit learn examples: http://scikit-learn.org/stable/auto_examples/index.html | |||
Scikit learn map of algorithms: http://scikit-learn.org/dev/tutorial/machine_learning_map/index.html | |||
Scikit learn SVR example: http://scikit-learn.sourceforge.net/0.6/auto_examples/svm/plot_svm_regression.html | |||
Scikit learn more about SVR: http://scikit-learn.org/stable/modules/svm.html | |||
Abalone data set (UCI ML repo): http://archive.ics.uci.edu/ml/datasets/abalone | |||
Tutorial on support vector regression: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=C72B60C38C905614709A0C30D973E2CB?doi=10.1.1.114.4288&rep=rep1&type=pdf | |||
Wiley Classics library: https://www.librarything.com/series/Wiley+Classics+Library | |||
Tombone's computer vision blog: http://www.computervisionblog.com/ | |||
Extended mean field restricted boltzmann machine: https://github.com/charlesmartin14/emf-rbm | |||
Revision as of 07:03, 25 December 2016
Projects
Projects for the month of December:
- Empirical model building - Github repository containing Jupyter notebooks illustrating various experimental design strategies
- Rejoyce - Github repository containing Jupyter notebooks applying the Natural Language Toolkit to James Joyce's Ulysses
- Website: https://charlesreid1.github.io/rejoyce
- Repository: https://github.com/charlesreid1/rejoyce
- California Crime Stats - Github repository containing Jupyter notebooks applying various statistical tools to analyzing California crime data
- Repository: https://github.com/charlesreid1/cali-crime
- Kaggle Notebook: Cleaning Up the Crime Scene: Parsing the Data https://www.kaggle.com/csc142/d/fbi-us/california-crime/cleaning-up-the-crime-scene-parsing-the-data
- Kaggle Notebook: California Crime Compendium: Comparing Campuses https://www.kaggle.com/csc142/d/fbi-us/california-crime/california-crime-compendium-comparing-campuses
- Abalone Baloney - Github repository containing Jupyter notebooks applying machine learning techniques to an abalone (sea snail) data set from the UCI machine learning repository
- Repository: https://github.com/charlesreid1/abalone-baloney
References
Scikit learn examples: http://scikit-learn.org/stable/auto_examples/index.html
Scikit learn map of algorithms: http://scikit-learn.org/dev/tutorial/machine_learning_map/index.html
Scikit learn SVR example: http://scikit-learn.sourceforge.net/0.6/auto_examples/svm/plot_svm_regression.html
Scikit learn more about SVR: http://scikit-learn.org/stable/modules/svm.html
Abalone data set (UCI ML repo): http://archive.ics.uci.edu/ml/datasets/abalone
Tutorial on support vector regression: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=C72B60C38C905614709A0C30D973E2CB?doi=10.1.1.114.4288&rep=rep1&type=pdf
Wiley Classics library: https://www.librarything.com/series/Wiley+Classics+Library
Tombone's computer vision blog: http://www.computervisionblog.com/
Extended mean field restricted boltzmann machine: https://github.com/charlesmartin14/emf-rbm