Skip to main content

Linear regression in Python for Greek real estate data

Project description

iraklis7_linrg

Linear regression in Python for Greek real estate data

Project Organization

├── LICENSE            <- Open-source license if one is chosen
├── Makefile           <- Makefile with convenience commands like `make data` or `make train`
├── README.md          <- The top-level README for developers using this project.
├── 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.
│
├── docs               <- A default mkdocs project; see www.mkdocs.org for details
│
├── models             <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
│                         the creator's initials, and a short `-` delimited description, e.g.
│                         `1.0-jqp-initial-data-exploration`.
│
├── pyproject.toml     <- Project configuration file with package metadata for 
│                         iraklis7_linrg and configuration for tools like black
│
├── references         <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`
│
├── setup.cfg          <- Configuration file for flake8
│
└── iraklis7_linrg   <- Source code for use in this project.
    │
    ├── __init__.py             <- Makes iraklis7_linrg a Python module
    │
    ├── config.py               <- Store useful variables and configuration
    │
    ├── dataset.py              <- Scripts to download or generate data
    │
    ├── features.py             <- Code to create features for modeling
    │
    ├── modeling                
    │   ├── __init__.py 
    │   ├── predict.py          <- Code to run model inference with trained models          
    │   └── train.py            <- Code to train models
    │
    └── plots.py                <- Code to create visualizations

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iraklis7_linrg-0.1.7.tar.gz (7.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

iraklis7_linrg-0.1.7-py3-none-any.whl (10.6 kB view details)

Uploaded Python 3

File details

Details for the file iraklis7_linrg-0.1.7.tar.gz.

File metadata

  • Download URL: iraklis7_linrg-0.1.7.tar.gz
  • Upload date:
  • Size: 7.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for iraklis7_linrg-0.1.7.tar.gz
Algorithm Hash digest
SHA256 ffa3c5659bcb8a69bfd811793562add92f2320dd452670e6473aea1b5a5406bc
MD5 32f7c4692a3919608bf4f46934160534
BLAKE2b-256 120b3f74d4c8b928fdc4df7c5e5ab46d66d1236d7878b518c1d2eb13fa749441

See more details on using hashes here.

Provenance

The following attestation bundles were made for iraklis7_linrg-0.1.7.tar.gz:

Publisher: publish-app.yml on iraklis7/iraklis7_linrg

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file iraklis7_linrg-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: iraklis7_linrg-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 10.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for iraklis7_linrg-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 6d796811c239cc41e49e05a268616cbc1851928ba5fc7f77f6e8d670162922b6
MD5 f7bdb09895a757a5d6c7ba86678dbeee
BLAKE2b-256 62b4aa4a5b49c427adceaf50641cfe5955dd6fd6ca8803c5b365dba7747e5e8c

See more details on using hashes here.

Provenance

The following attestation bundles were made for iraklis7_linrg-0.1.7-py3-none-any.whl:

Publisher: publish-app.yml on iraklis7/iraklis7_linrg

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page