PCOS Dataset Analysis

This repository contains a Jupyter Notebook (PCOS.ipynb) for analyzing a dataset related to Polycystic Ovary Syndrome (PCOS).

Dataset Description

The dataset includes information on various patients, with both PCOS and non-PCOS cases.

Notebook Contents

The PCOS.ipynb notebook includes:

1. Data loading and initial exploration
2. Preprocessing steps
3. Statistical analysis of PCOS vs. non-PCOS patients
4. Visualization of key features
5. Logistic Regression model for PCOS prediction

Usage

To use this notebook:

1. Ensure you have Jupyter Notebook or JupyterLab installed
2. Open PCOS.ipynb in your Jupyter environment
3. Run the cells sequentially to reproduce the analysis

Requirements

• Python 3.x
• Jupyter Notebook
• Common data science libraries (pandas, numpy, matplotlib, etc.)