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readme.txt
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# README #
Open source code and data for open source data science.
* List of projects
1) university_sexcrimes
Analysis of data on sex crimes in US university campuses.
2) heart_disease_risk_prediction
Predicting heart disease risk from open data.
3) cancer_mortality_prediction
Predicting cancer survival using logistic regression from open data.
4) predicting_news_popularity
Predicting popularity of news articles from open data.
5) opensource_mapping_project
Open source mapping project.
6) astroinformatics
Analysis of astronomy data using machine learning techniques.
7) scientific_collaboration
Project to analyze planetary scale scientific collaboration data.
8) accident_prediction
Road accident forecasting and data exploration project.
Interactive website at:
https://neelsoumya.shinyapps.io/accident_prediction/
9) patterns_in_crime
Predicting patterns of crime using data science. Larger cities have disproportionately more crime per capita compared to smaller cities (super-linear scaling of crime). We used techniques from dynamical systems and complex systems to explain the super-linear scaling of crime in cities and other socio-technological systems
10) spam_classification
Building an SVM based spam classifier trained on data from the UCI repository
11) breast_cancer_prediction
Download data from the UCI machine learning repository to make predictions
for breast cancer. A few features turn out to be really important for prediction like epithelial cell size. This uses a random forest.
### What is this repository for? ###
* Quick summary
* Open source code and data for open source data science.
* If you use this code, please cite the paper and code
* Citizen Data Science for Social Good: Case Studies and Vignettes from Recent Projects https://doi.org/10.13140/RG.2.1.1846.6002
* Banerjee, Soumya. (2017, September 3). Citizen Data Science for Social Good: Case Studies and Vignettes from Recent Projects (Supplementary Resources). Zenodo. http://doi.org/10.5281/zenodo.883783
[](https://doi.org/10.5281/zenodo.883783)