Houses pipeline for preprocessing and training a model
Project description
Houses Data Science Pipeline
This is a Houses Data Science pipeline produced from an analysis you can see as steps in notebooks/
Requirements
- conda
Installation
Run the following to install the project as a python package
pip install houses_pipeline
Starting and exploring the project
conda create -f environment.yml
conda activate houses
Building the package
python setup.py bdist_wheel
Pipeline steps
Fetch the dataset
./houses_pipeline/fetch/fetch_dataset.sh data/raw
Or simply a one-liner of
kaggle competitions download -c house-prices-advanced-regression-techniques -p data/raw ;
unzip -o data/raw/*.zip -d data/raw/
Preprocess
- python houses_pipeline/preprocess data/raw/train.csv data/interim/train.csv
Data Splitting
- Not Yet Implemented
Model Training
- Not Yet Implemented
Running tests
conda develop .
pytest
Usage
Contributing\Developing
pip install -e .[dev]
Project details
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