pksohn

tweet-clustering

Clustering analysis of one million tweets using scikit-learn, including basic benchmarking of various clustering algorithms

geostatistics

Basic implementation of simple kriging predictions and stochastic simulations using Numpy, along with methods for cross-validation and visualization.

awesome

My personal collection of helpful learning resources, interesting projects, and other things to keep track of.

python-boot-camp

Jupyter notebook demo of basic python and pandas. Developed for UC-Berkeley City Planning methods courses, 2016.

tweet-db

Basic spatial queries on Twitter data in PostGIS and MongoDB

tenure

A look at the accuracy and sensitivity of different classification algorithms in predicting whether households rent or own based on census data

advent_of_code

aoc2020

Advent of Code 2020. Learning Java.

bayarea_urbansim

UrbanSim implementation for theoretical second bay crossing, CP218 Transportation Studio at UC-Berkeley, Dept of City and Regional Planning, Fall 2016

election

Guessing game of election results using Google Streetview

envoy

Cloud-native high-performance edge/middle/service proxy

npr_books

Small scraper for NPR's lists of best books of the year 2013-2016

orca-feedstock

A conda-smithy repository for orca.

pksohn.github.io

My personal page

semcog_urbansim

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

texas-pums

Basic demographic analysis of 2014 PUMS data for workers in Austin-Round Rock MSA

transpo-studio-2016

Website for CP218 Transportation Studio 2016, Dept of City and Regional Planning, UC Berkeley

trash