Analyzing crime in Chicago using large scale computing methods
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Updated
Jul 3, 2024 - Jupyter Notebook
Analyzing crime in Chicago using large scale computing methods
Chicago PD data analysis on Chicago community areas between 2015-2023
These are real and live Machine learning and statistical models built in R language and python by kamil-Bello Furqan
My portfolio site/developer blog written in full-stack Rust.
Data Story about the Kaggle Chicago Crime dataset (See ADA_Project for python code).
I have prepared a Dash Board using Tableau software to analyze and visualize Chicago City Crime Dataset.
This is a project investigate the seasonal pattern of crimes in NYC and Chicago
In partnership with Chicago-land crime prevention organization ran comparative analysis between Chicago Police Department data and crowdsourced Citizen App
The objective of this project is to analyze the socio-economic in Chicago.
Analysis of Chicago Crime Data, looking for patterns such as change of crime over time, dangerous areas, and future crime predictions.
Regression and Statistical analysis of crimes in Chicago from 2015 until 2020.
Yildiz Technical University Computer Engineering BLM4120 Course Term Project
Peer-review assignment for Chicago Police Resource project
This is my coursera Project completed when trying to learn about the use of SQL in Data Science.
This project is based on the Chicago City Crime dataset available on Kaggle. It is implemented using MongoDB, Flask API and HTML.
Exploring public Chicago crimes data set in Python
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