Feature-Engineering This project is to emphasize how to create features from various data types such as numerical, categorical, text, coordinate etc. Finally after feature engineering, apply ML to predict if there is any casualty or not. (1) The dataset is fire incidents in the Toronto area. You can download https://open.toronto.ca/dataset/fire-incidents/ In addition, there are also other data sets (2) fire station: https://open.toronto.ca/dataset/fire-station-locations/ (3) fire hydrants: https://open.toronto.ca/dataset/fire-hydrants/ (4) weather: https://www.weatherstats.ca/ data/weatherstats_toronto_normal_daily.csv (5) demographic data from census: https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/prof/index.cfm?Lang=E age and gender: data/ToCensus.csv fsa area 2016: data/fsa_area_2016.csv data/2016_CensusDataFSA_HouseholdStructure.csv data/2016_CensusDataFSA_Population.csv