jesselyenriquez Goto Github PK

ames-housing-linear-regression

fire_severity-xgboost-neural_net-randomforest-

The actual Streamlit App is hosted here.

fire_severity_classifier-xgb-random-forest-neuralnet-knn

As citizens against climate change, we as a team want to identify and predict how severe a fire will be based on a variety of factors. By predicting areas at risk for severe fire, we can give these communities time to prepare and take preventative measures features of interest are temperature, precipitation, drought, and location.

modeling_earthquake_damage

IN PROGRESS .... Modeling and predicting building damage in 2015 Gorkha Earthquake in Nepal the vulnerable municipalities will be identified to aid in informing Nepalese govn't to take future protective action.

subbreddit_classfication-log_reg-random-forest-

Two subreddits, Conspiracy & AskPoitics postings were extracted to create a classification model to aid a political candidate's social media post so it could be classified as conspiracy discourse to inform communications teams if rewriting needed to be done, prior to posting.