Pinned Repositories
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
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
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
ajupton's Repositories
ajupton/big-data-engineering-project
Big Data Engineering practice project, including ETL with Airflow and Spark using AWS S3 and EMR
ajupton/PySpark_guides
Reference and learning notebooks on the use of Spark for ML and analytical applications
ajupton/archy-multilayer-nets
Mutlilayer Social Networks Created from Archaeological Data
ajupton/Archytransmission
Files based on Eerkens and Bettinger (2008) statistical model for assessing cultural transmission from continuous archaeological data
ajupton/LA_ICP_MS-Routines_FMNH
Routines to read and analyze LA-ICP-MS data from the Field Museum's Elemental Analysis Facility
ajupton/Ceramic_Dashboard
Dashboard showing ceramic EDA and interaction network construction in the Late Prehistoric CIRV
ajupton/Risk-Modeling-and-Fraud-Detection
Collection of resources for cutting edge approaches to risk modeling and fraud detection
ajupton/Chicago_rideshare_at_scale
Forecasting rideshare demand in Chicago with AWS EMR and Pyspark
ajupton/COVID-19
Visualizing and modeling the potential impacts of COVID-19
ajupton/cRaggy_2018_submission
Submission to the Cascadia R Conf cRaggy
ajupton/hike.pnw
Personalized PNW hiking trail recommendations
ajupton/Data_Science_Challenge_Notebooks
Jupyter notebooks working through various data science challenges
ajupton/deep-learning-practice
Repo showing practice deep learning applications/projects
ajupton/deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
ajupton/ER_sim
Network simulation function based on Erdős–Rényi model
ajupton/pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
ajupton/Practice_Notebooks
Practicing Data Science Concepts in R and Python
ajupton/websiteblogcode
Code for blogs @ andyupton.net
ajupton/WIBD-Workshops-2018