R

Course Description & Objectives Last updated: 2025-08-19 This course is about different techniques used in assembling, managing, analysing and predicting using heterogeneous data sets in urban environments. These datasets are inherently messy and incomplete.

Introduction This post was last updated on 2025-08-07 Large Language Models (LLMs) represent a class of artificial intelligence systems that have fundamentally transformed natural language processing and generation. These neural networks, trained on vast corpora of text data, demonstrate remarkable capabilities in mimicking the understanding context, generating coherent(ish) responses, and performing complex reasoning tasks across diverse domains.

Introduction In this post, I am going to show how one might go about analysing the Bikeshare use in New York city.

R Bootcamp

Introduction Understanding the reach and effectiveness of public transit is important to understand how urban environments are accessible for different groups of people.

Creating urban landscape metrics

COVID-19 actions

Land Suitability Analysis using Multi Criteria Decision Making

Parsing data that is served through REST API.