Teachings

R Bootcamp

COVID-19 actions

A short course on urban analytics in R. And a critical look at urban analytics.

Exploratory Data Analysis Use Canvas to submit the HW. Both RMarkdown and the knitted html file is required for full credit. Task 1 Instead of O\(_3\) as used in the tutorial, perform the analysis for NO\(_2\) for 2017 data.

Raster Analysis Use Canvas to submit the HW. Both RMarkdown and the knitted html file is required for full credit. Task The National Oceanic and Atmospheric Administration’s Coastal Change Analysis program produces land cover on the coast of the US.

Machine Learning Use Canvas to submit the HW. Both RMarkdown and the knitted html file is required for full credit. Task Improve the classification performance on the same dataset you used in the lab and write up a report on the significance of your feature engineering, model selection choices.

Scraping web for data Use Canvas to submit the HW. Both RMarkdown and the knitted html file is required for full credit. Task Make the script from the lab more robust to errors and get a listing of all day care centers, hospitals, elder care centers, health clinics etc.