Kaggle Ames Housing ML Project

Project to compete in Kaggle Ames House Prices. 1 entry. Scored 0.13339. 1964 on Leaderboard.

Final Report

Setup

Create and activate the Conda environment:

conda env create -f environment.yml
conda activate ames

Install the project (with dev dependencies):

pip install -e ".[dev]"

Register the Jupyter kernel:

python -m ipykernel install \
  --user \
  --name ames \
  --display-name "Python (ames)"

Create CSV for submission

# Create submission.csv in folder
conda activate ames
python ./src/ames/models/best.py

Experiment Versioning

Version of code used in Analysis

I used git rev-parse --short HEAD to get the commit hash for versioning test runs