Resoruce to help you to prepare for your comming data science interviews

Disparities in fine particulate matter exposure across racial and income groups in the United States

Spatial Analysis and Remote Sensing with Python Tutorials

Data science interview questions and answers

Air Sensor Data Analysis Library

data and scripts for the ASDAR book

Dedicated to updating and improving BMEGUI

Dedicated to updating and improving BMEGUI

A collection of the most important Github repos for ML, AI & Data science practitioners

This shell script assists WRF/CMAQ users in installing the Weather Research and Forecasting (WRF) model version 4.5 / US EPA Community Multiscale Air Quality Model (CMAQ) version 5.4 on Ubuntu 22.0…

Scripts for analyzing DDM output from the Comprehensive Air Quality Model with Extensions (CAMx)

creating, running and processing CAMx(Comprehensive Airquality Model with eXtension) runs

Python-based air emissions QA and reporting tool for CMAQ and CAMx model ready emissions inputs.

pre- and post- processors for CAMx, CMAQ, GEOS-Chem, etc

Code in support of Nowack et al. AMT (2021) on machine learning and low cost sensor calibrations

LCSQA / AQ mapping using sensor observations

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

Like EPA's BenMAP, but in R

A Python3 wrapper written for the new PurpleAir API [https://api.purpleair.com/]. Find this package on pypi: https://pypi.org/project/purpleair-api/#history You can grab your own sensor here: https…

Python package for visualising future, historic and current air pollution data

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Python code to get PurpleAir historical data

Python interface to RSIG Web API

An updated R package deeper: Deep Ensemble for Environmental Predictor

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

Comparing distributions of low-cost sensors in terms of accuracy and equity of real-time air quality information

An easy-to-use, flexible website template for labs.

Python map overlay software to read CNO and CNOB files.

A logger that will query purple air sensor(s) for data. That data can then be stored in a PostGreSQL database, CSV files, or SQLite3 databse. Find this package on pypi: https://pypi.org/project/pur…

Online tutorial on how to use Ensemble Machine Learning for spatial and spatiotemporal interpolation / predictions