https://github.com/mrtkp9993/machine-learning-examples
Basic Machine Learning Examples.
https://github.com/mrtkp9993/machine-learning-examples
data-science machine-learning r-language r-markdown
Last synced: 18 days ago
JSON representation
Basic Machine Learning Examples.
- Host: GitHub
- URL: https://github.com/mrtkp9993/machine-learning-examples
- Owner: mrtkp9993
- License: gpl-3.0
- Created: 2018-08-30T07:40:17.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-09-15T19:21:43.000Z (over 6 years ago)
- Last Synced: 2025-01-18T16:47:04.635Z (12 months ago)
- Topics: data-science, machine-learning, r-language, r-markdown
- Language: R
- Size: 862 KB
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Machine Learning Examples
[](https://github.com/mrtkp9993/Machine-Learning-Examples/blob/master/LICENSE)
* SCADI Data Set, methods used: t-SNE, Random Forests
[UCI ML Repository Link](http://archive.ics.uci.edu/ml/datasets/SCADI), [Data](https://github.com/mrtkp9993/Machine-Learning-Examples/blob/master/data/SCADI.csv), [Markdown](https://github.com/mrtkp9993/Machine-Learning-Examples/blob/master/markdowns/t-SNE_and_Random_Forests.md).
* Breast Cancer Coimbra Data Set, methods used: Support Vector Machines (SVM)
[UCI ML Repository Link](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Coimbra), [Data](https://github.com/mrtkp9993/Machine-Learning-Examples/blob/master/data/Breast_Cancer_Coimbra_DataSet.csv), [Markdown](https://github.com/mrtkp9993/Machine-Learning-Examples/blob/master/markdowns/SVM.md).
## References
* Zarchi, M. S., SMM Fatemi Bushehri, and M. Dehghanizadeh. 'SCADI: A standard dataset for self-care problems classification of children with physical and motor disability.' International Journal of Medical Informatics (2018).
* Patrício, M., Pereira, J., Crisóstomo, J., Matafome, P., Gomes, M., Seiça, R., & Caramelo, F. (2018). Using Resistin, glucose, age and BMI to predict the presence of breast cancer. BMC Cancer, 18(1).