HousingPrice

Kaggle - predict housing prices

Evaluation method: Root-Mean-Squared-Error (RMSE)

conda install -c conda-forge lightgbm
conda install -c conda-forge xgboost

This repository is divided into two parts

1. House pricing prediction (supervised ML)

See jupyter notebook

• random forest regression

• support vector regression

• gradient boosting regression

• Optimizer: GridSearchCV

• model interpretation: LIME, SHAP, feature importance

  

• Final submission: Submission.csv

• RMSE score: 0.13615

2. Housing pricing prediction using Tensorflow

pip install tensorflow

See jupyter notebook