Using Apache Spark SQL, Spark ML, Pandas to analyse and predict using the Chicago crime dataset
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Updated
Apr 6, 2018 - Jupyter Notebook
Using Apache Spark SQL, Spark ML, Pandas to analyse and predict using the Chicago crime dataset
The aim this work is to find the relation of Chicago Crimes and some econocensus factors as well as some weather factors.
Investigation of the evolutionary change in crimes in Chicago, IL.
This is a python dictionary which maps the Community Area code with the district names of Chicago
Exploring public Chicago crimes data set in Python
This project is based on the Chicago City Crime dataset available on Kaggle. It is implemented using MongoDB, Flask API and HTML.
This is my coursera Project completed when trying to learn about the use of SQL in Data Science.
Peer-review assignment for Chicago Police Resource project
Yildiz Technical University Computer Engineering BLM4120 Course Term Project
Regression and Statistical analysis of crimes in Chicago from 2015 until 2020.
Analysis of Chicago Crime Data, looking for patterns such as change of crime over time, dangerous areas, and future crime predictions.
The objective of this project is to analyze the socio-economic in Chicago.
In partnership with Chicago-land crime prevention organization ran comparative analysis between Chicago Police Department data and crowdsourced Citizen App
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