Exploring public Chicago crimes data set in Python
-
Updated
Jun 20, 2019 - Jupyter Notebook
Exploring public Chicago crimes data set in Python
Using Apache Spark SQL, Spark ML, Pandas to analyse and predict using the Chicago crime dataset
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.
Yildiz Technical University Computer Engineering BLM4120 Course Term Project
My portfolio site/developer blog written in full-stack Rust.
This is a project investigate the seasonal pattern of crimes in NYC and Chicago
These are real and live Machine learning and statistical models built in R language and python by kamil-Bello Furqan
Regression and Statistical analysis of crimes in Chicago from 2015 until 2020.
Investigation of the evolutionary change in crimes in Chicago, IL.
Data Story about the Kaggle Chicago Crime dataset (See ADA_Project for python code).
This is a python dictionary which maps the Community Area code with the district names of Chicago
In partnership with Chicago-land crime prevention organization ran comparative analysis between Chicago Police Department data and crowdsourced Citizen App
I have prepared a Dash Board using Tableau software to analyze and visualize Chicago City Crime Dataset.
Peer-review assignment for Chicago Police Resource project
Add a description, image, and links to the chicago-crime topic page so that developers can more easily learn about it.
To associate your repository with the chicago-crime topic, visit your repo's landing page and select "manage topics."