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 repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program Spark course using PySpark.

These are real and live Machine learning and statistical models built in R language and python by kamil-Bello Furqan

Investigation of the evolutionary change in crimes in Chicago, IL.

Regression and Statistical analysis of crimes in Chicago from 2015 until 2020.

This is a project investigate the seasonal pattern of crimes in NYC and Chicago

This is a python dictionary which maps the Community Area code with the district names of Chicago

Data Story about the Kaggle Chicago Crime dataset (See ADA_Project for python code).

An interactive shiny app

Analyzing crime in Chicago using large scale computing methods

Contains Chicago Census Data, Chicago Public Schools, and Chicago Crime Data between the years 2008 - 2012. I used those 3 csv files to create dataframes, and connected them to "%sql" (Magic SQL) titled "FinalDB.db," and was able to use SQL commands to answer the questions and more.