Data Science

This repository is written in R and Python and displays a range of data science techniques, from extraction and transformation to statistical analysis techniques, for example, DBSCAN, K-means, Hierarchal clustering etc.

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Examples

1. A Comparison of St-DBSCAN And DBSCAN In Identifying Density Clusters of Antisocial Behaviour across Greater London (Python)
2. K-means, DBSCAN and Hierarchical Clustering (R)
3. Exploratory Data Analysis (Python)

Examples that will be uploaded soon

• ARIMA modelling
• SVM Classification
• Artificial Neural Networks (ANNs)-Spatial time series forecasting

Link to the Spatial Econometrics repository displaying collaborative report writing and scripting in R Markdown Repository Link

ST-DBSCAN and DBSCAN

Comparing DBSCAN and ST-DBSCAN in analysing police antisocial behaviour (ASB) crimes in London.

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ASB Crimes in London
Kernel Density Estimation Of ASB Crimes In London
DBSCAN Clusters of ASB Crimes In London

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K-means, DBSCAN and Hierarchical Clustering

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Basic tutorial in using R for DBSCAN, Hierarchal Clustering and K-means Machine learning techniques, the material was adapted from tutorial material cited in the repository.

K-means Cluster plot and code in R

Exploratory Data Analysis

Exploratory data analysis of crime data from data.gov.

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