Metadata-Version: 2.1
Name: smartpyml
Version: 0.1.2
Summary: smartpyml: A Comprehensive Machine Learning Library
Home-page: https://github.com/srikresna/smartpyml
Author: srikresna
Author-email: srikresna383@gmail.com
Keywords: machine learning,data science,automl,ai
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: xlrd
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scipy
Requires-Dist: statsmodels
Requires-Dist: scikit-learn
Requires-Dist: imbalanced-learn
Requires-Dist: ppscore
Requires-Dist: tensorflow
Requires-Dist: minisom
Requires-Dist: lime
Requires-Dist: shap
Requires-Dist: geopy
Requires-Dist: folium

smartpyml is a comprehensive machine learning library that empowers developers and data scientists to easily apply classical machine learning algorithms and time series analysis techniques. It provides a collection of user-friendly functions and tools for data preprocessing, model training, evaluation, and prediction, making it suitable for both beginners and experienced practitioners in the field of data science and artificial intelligence.

Main Features:
- A wide range of classical machine learning algorithms
- Time series analysis and forecasting capabilities
- User-friendly interfaces for easy implementation
- Data preprocessing utilities for feature engineering
- Model evaluation and performance metrics
- Support for both numerical and categorical data

- WARNING: This library is still in development and may contain bugs.
For more information and examples, visit the GitHub repository: https://github.com/srikresna/smartpyml
