Done By: Eugene, Shaohang, Nickson, Jinq Yee
Dataset: Richter's Predicition: Modelling Earthquake Damage
URL: https://www.drivendata.org/competitions/57/nepal-earthquake/
Our Models: Decision Tree, Random Forest, Catboost
Objective: To successfully predict the level of damage grade to buildings caused by the 2015 Gorkha earthquake in Nepal with the highest level of accuracy.
Check for Null values
Encode categorical data into numeric form
Concatenate the value of the damage grade from 2 datasets into one by mapping it according to its unique identifier, the building ID