House Pricing
Tabular Data
Data Preparation
Regression
Neural Nets
Gradient Boosting
Competition
fastai
XGBoost
Predict the housing prices in a kaggle competition.
This dataset consists of 79 features about sold houses but came with a lot of missing values which had to be filled manually and apropriately. I learned a Neural Net and a Gradient Booster to predict the house prices and ensembled both learners to decrease the error value.