Analyse Los Angeles Crime rate between 2012 - 2016 using python pandas, numpy and matplot libraries
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Updated
Oct 10, 2016 - Jupyter Notebook
Analyse Los Angeles Crime rate between 2012 - 2016 using python pandas, numpy and matplot libraries
This repository contains jupyter notebook implementation for crime type prediction on the basis of spatial and temporal data available.
This project gives an overview of crime time analysis in New York City . We have created Python Jupyter notebooks for spatial analysis of different crime types in the city using Pandas, Numpy, Plotly and Leaflet packages. As a second part to this analysis, we worked on ARIMA model on R for predicting the crime counts across various localities in…
Ajit Koduri and Zane Olds looking at the Chicago Crime Data provided by the CPD CLEAR's system as seen on Kaggle. Powerpoints contain pictures arising from data analysis, .ipynb files are code we have made to look into the the criminal occurrences in Chicago with Python using Jupyter Notebooks.
Chicago Crime Data Analysis. Powerpoints contain pictures arising from data analysis, .ipynb files are code we have made to look into the the criminal occurrences in Chicago with Python using Jupyter Notebooks.
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