Metadata-Version: 2.1
Name: MLPipelineProject
Version: 0.1.3
Summary: A package for EDA with Streamlit dashboard
Author: Jhansi Siriprolu
Author-email: siriprolu2018@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: streamlit
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: seaborn
Requires-Dist: matplotlib
Requires-Dist: xgboost

# ML Pipeline

A machine learning pipeline for Exploratory Data Analysis (EDA), data preprocessing, model training, and evaluation. This package helps to quickly analyze datasets, preprocess data, and train models like Random Forest or XGBoost with detailed evaluation metrics.

## Features
- Perform EDA and visualize data
- Handle missing values and scale data
- Encode categorical data
- Train Random Forest or XGBoost models
- Evaluate models using F1 score, R², MSE, etc.

## Installation

You can install the package via pip:

```bash
pip install ml-pipeline
