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Name: Mark Jones
Type: User
Company: Toronto Police Service
Bio: Crime Analyst for the Toronto Police Service.
Location: Toronto, Ontario, Canada
Blog: torontopolice.on.ca
Name: Mark Jones
Type: User
Company: Toronto Police Service
Bio: Crime Analyst for the Toronto Police Service.
Location: Toronto, Ontario, Canada
Blog: torontopolice.on.ca
A Repository of Notebooks for the Python Lecture Site
An introduction to R for Criminologists
Materials for learning R tailored to UG Criminology students
A bookshelf project for the Udacity React Nanodegree.
Starter Code for the React MyReads Project
A curated list of suggested reading materials.
Code and supporting files for book Real World Python
A collection of reddit utility scripts organized as a web app β includes the ability to search through your saved posts
Python Implementation of Reinforcement Learning: An Introduction
Research Methods for Data Science with Python
PyMC3 educational resources
π― The most essential list of resources for Front-End beginners (πΊπΈ π¬π§ π¨π¦ & π«π·)
A simple game of Rock Paper Scissors developed to test my own understanding of OOP using Python
Sample module for Python-Guide.org.
A parser for Google Scholar, written in Python
scikit-learn-mooc
Tutorial material on the scientific Python ecosystem
Webpages hosting for the SciPy Lecture Notes
A visual introduction to probability and statistics.
Code and shared files
A very lightweight kanban board
A simple user management script written in PHP/MySQL which allows you to easily add login protected areas of you website.
Learning how to make small multiples with python
Crimes occur everywhere around us, affecting the quality of life and growth of the economy of a society. Although crimes occur everywhere, criminals target familiar areas for them whenever they get the opportunity. Thus, given a data mining approach, it is possible to process data such as the crime type, date, area and so on to find a pattern among these crimes. This could help us predict whether the area is safe or unsafe, for a given time, day and area. By this, we hope to raise the awareness among people about their surroundings and help them be aware and undertake safety measures at the dangerous time periods. This could also be useful to the police department of the area so they can send suitable police force and maintain tight security in crime prone areas and times. Our Data Mining assignment aims at performing Tactical Crime analysis on real-world crimes dataset of Los Angeles in California from 2010 to 2015. To extract frequent patterns of crime on the dataset, we used several techniques and algorithms to generate various graphs to help us analyze the data and be able to predict the crime rates in specific locations at a particular time. We have provided statistical analysis of different crime types with their demographic information.
Collection of Jupyter Notebooks demonstrating some of the basics for working with SpatialDataFrames
Spotify Rewrapped
Technical documentation for Microsoft SQL Server, tools such as SQL Server Management Studio (SSMS) , SQL Server Data Tools (SSDT) etc.
SQL Server 2019 Workshop
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.