zuzannna Goto Github PK

-givingtuesday

💰 💸 #GivingTuesday hackathon by #DataKind - mapping normalized small charitable donations with Python, GeoPandas & Carto 🗺️

ab-testing-bayes

A/B testing using frequentist and Bayesian approaches

bcda

This R package is a set of tools for Bayesian analysis of categorical data, specifically 2×2 contingency tables.

can-you-survive-this

All you need to learn/teach basics of survival analysis. Deck & Python code with simulations, examples and more. Workshop originally delivered at Grace Hopper Celebration #GHC2018🌈👩🏾‍💻

coding-practice

🛠30 Days of Coding challenge from HackerRank💻

coffeeflavors

☕ Automatic tagging for coffee reviews using SCAA flavor wheel standardized tags 🤖☕

collecting_behavioral_data_online

a NYU course on how to collect data online

conferences

List of Conferences

discovery-hiring-analyst-2016

Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.

gardeningrecommendations

🤔 ✍️ Simple user-user recommendation system for gardening supplies to explain collaborative filtering and practice using Spark on Amazon product dataset 🌳 🌿

get_better_with_data

Healthcare hack-a-thon

healthytrees

🌿🗽Analysis of health of NYC trees with GIS, logistic regression & random forest 🏙 🌳 National Day of Civic Hacking 2016

insight-project

📝 Scratchpad

ising

Testing whether samples of binary data are described well by a high temperature Ising model

loyalty-program-etl

💳 ETL (Extract, Transform and Load) pipeline for calculating stats for a transactions database & testing the efficacy of a loyalty program. 💻

neural-networks-workshop-materials-wimlds

Materials for Neural Networks Workshop, January 21 2017, WiMLDS

odscon-sf-2015

Material for ODSCON San Francisco 2015

pyldavis

Python library for interactive topic model visualization. Port of the R LDAvis package.

randomforestworkshop

sql-practice

Practice Problems For SQL Queries

ts_tutorial

vango

🖼 ✨ VanGo: autocurating your art experience✨ 🎩 Art recommendation engine for The British Museum online collection created using NLP & PCA.

vwm-eye-movements-uncertainty

wikipedia-users

📚 👀 Quick look into behavioral characteristics and usage metrics of Wikipedia users based on event logging (EL) data using k-means 💻

zuzannna.github.io

Build a Jekyll blog in minutes, without touching the command line.