used-cars-log-trans

This is the accompanying repository for the blog post Honey, I shrunk the target variable. Find the used-cars notebook in the notebooks folder.

Installation

In order to set up the necessary environment:

create an environment used-cars-log-trans with the help of conda,
```
conda env create -f environment.yaml
```
activate the new environment with
```
conda activate used-cars-log-trans
```
start JupyterLab with:
```
jupyter lab
```

Then take a look into the notebooks folder.

Project Organization

 AUTHORS.rst             <- List of developers and maintainers.
 CHANGELOG.rst           <- Changelog to keep track of new features and fixes.
 LICENSE.txt             <- License as chosen on the command-line.
 README.md               <- The top-level README for developers.
 data
    external            <- Data from third party sources.
    interim             <- Intermediate data that has been transformed.
    processed           <- The final, canonical data sets for modeling.
    raw                 <- The original, immutable data dump.
 environment.yaml        <- The conda environment file for reproducibility.
 notebooks               <- Jupyter notebooks. Naming convention is a number (for
                              ordering), the creator's initials and a description,
                              e.g. `1.0-fw-initial-data-exploration`.
 setup.cfg               <- Declarative configuration of your project.
 setup.py                <- Use `python setup.py develop` to install for development or
|                              or create a distribution with `python setup.py bdist_wheel`.
 src
    used_cars_log_trans <- Actual Python package where the main functionality goes.
 tests                   <- Unit tests which can be run with `py.test`.
 .coveragerc             <- Configuration for coverage reports of unit tests.
 .isort.cfg              <- Configuration for git hook that sorts imports.
 .pre-commit-config.yaml <- Configuration of pre-commit git hooks.

Note

This project has been set up using PyScaffold 3.2.3 and the dsproject extension 0.4. For details and usage information on PyScaffold see https://pyscaffold.org/.