# 🫁 Project 1 – Lung Cancer Prediction
![Prediction Graph](LungCancer.png)
## 📌 Overview
This project focuses on predicting lung cancer using machine learning techniques implemented in Python. It includes a Jupyter Notebook and a formal project report submitted as part of I501 coursework.

## 📂 Project Files
| File Name | Description |
|-----------|-------------|
| `I501_Group10_LungCancerProject_Liu_FINAL.ipynb` | Main Jupyter notebook with code, analysis, and results |
| `I501_ProjectReport_Group10.docx.pdf` | Final written report detailing the methodology and findings |

## 🧠 Topics Covered
- Data preprocessing and exploration
- Model building (Logistic Regression, Decision Tree)
- Evaluation metrics (Accuracy, ROC-AUC)
- Visualization using Matplotlib and Seaborn

## 👨‍💻 Contributors
**Group 10 – I501 Fall 2024**  
[MdSameer9656](https://github.com/MdSameer9656)

## 📅 Date
October 2024

## 📌 Note
This project was completed as part of the graduate-level Health Informatics curriculum at Indiana University.