Skip to main content

Mentors: Daniel Grzenda & David Uminsky

Project Title: Social Impact Track – PalmWatch

Project Description: Built a model in Jupyter Lab that compares correlations between columns of risk scores,
created an overlaid histogram of risk scores per mill type, found the risk scores for mills from 2001-2019 using a function, found the year each mill was certified and used this certification column and the risk score columns to build a random forest. The Random Forest predicts for every single year whether or not mills are certified. I also built a logistic regression to predicts what type of certification they have, if they are not certified or certified.

arrow-left-smallarrow-right-large-greyarrow-right-large-yellowarrow-right-largearrow-right-long-yellowarrow-right-smallfacet-arrow-down-whitefacet-arrow-downCheckedCheckedlink-outmag-glass