Metadata-Version: 2.1
Name: lasso-regression-model
Version: 0.0.1
Summary: Lasso Regression model package
Home-page: https://github.com/mm-mazhar/Deploying-ML-Lasso-Regression-Model
Author: Mazhar
Author-email: Mazhar <mazqoty.01@gmail.com>
License: BSD-3
Project-URL: Homepage, https://github.com/mm-mazhar/Deploying-ML-Lasso-Regression-Model
Project-URL: Bug Tracker, https://github.com/mm-mazhar/Deploying-ML-Lasso-Regression-Model/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
Requires-Dist: numpy (<1.25.3,>=1.24.3)
Requires-Dist: pandas (==1.5.3)
Requires-Dist: pydantic (<2.0.0,>=1.8.1)
Requires-Dist: scikit-learn (<1.3.2,>=1.2.2)
Requires-Dist: strictyaml (<2.0.0,>=1.3.2)
Requires-Dist: ruamel.yaml (<1.0.0,>=0.16.12)
Requires-Dist: feature-engine (<1.7.0,>=1.6.0)
Requires-Dist: joblib (<1.3.0,>=1.2.0)
Requires-Dist: scipy (<1.11.0,>=1.10.1)
Requires-Dist: seaborn (<0.13.0,>=0.12.1)
Requires-Dist: matplotlib (<3.8.0,>=3.7.1)
Requires-Dist: statsmodels (<0.14.0,>=0.13.5)

# Packaging of Machine Learning Pipeline

The pipeline features

- open source classes
- in house package classes
- feature selection during pipeline
- score new data

We will use the house price dataset available on [Kaggle.com](https://www.kaggle.com/datasets/mazhar01/real-state-website-data).

<table style="width:100%">
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    <td style="text-align: center;"><img src="https://i.imgur.com/moNYLOr.png[/img]" width="570px" height=240px/></td>
   </tr>
</table>
