ajupton Goto Github PK

archy-multilayer-nets

Mutlilayer Social Networks Created from Archaeological Data

archytransmission

Files based on Eerkens and Bettinger (2008) statistical model for assessing cultural transmission from continuous archaeological data

big-data-engineering-project

Big Data Engineering practice project, including ETL with Airflow and Spark using AWS S3 and EMR

ceramic_dashboard

Dashboard showing ceramic EDA and interaction network construction in the Late Prehistoric CIRV

chicago_rideshare_at_scale

Forecasting rideshare demand in Chicago with AWS EMR and Pyspark

covid-19

Visualizing and modeling the potential impacts of COVID-19

craggy_2018_submission

Submission to the Cascadia R Conf cRaggy

data_science_challenge_notebooks

Jupyter notebooks working through various data science challenges

deep-learning-practice

Repo showing practice deep learning applications/projects

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

er_sim

Network simulation function based on Erdős–Rényi model

hike.pnw

Personalized PNW hiking trail recommendations

la_icp_ms-routines_fmnh

Routines to read and analyze LA-ICP-MS data from the Field Museum's Elemental Analysis Facility

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

practice_notebooks

Practicing Data Science Concepts in R and Python

pyspark_guides

Reference and learning notebooks on the use of Spark for ML and analytical applications

risk-modeling-and-fraud-detection

Collection of resources for cutting edge approaches to risk modeling and fraud detection

websiteblogcode

Code for blogs @ andyupton.net

wibd-workshops-2018