Breast-Cancer-Prediction-Using-ML

Learning-focused project to explore, train, and evaluate machine learning models for breast cancer prediction.

Folder structure

• data/: raw and cleaned datasets (place breast_cancer.csv here)
• models/: saved trained models and preprocessing artifacts
• notebooks/: exploratory data analysis and experiments
• scripts/: reusable training/inference utilities
• results/: evaluation outputs, plots, and reports

Quickstart

1. Create a virtual environment (optional but recommended)

python -m venv .venv
.\.venv\Scripts\activate

2. Install dependencies

pip install -r requirements.txt

3. Place the dataset into data/ (rename or symlink if needed).
4. Run experiments via notebooks or scripts.
   • Notebook: open Advance Project Breast Cancer Prediction Using ML.ipynb (or copy/move into notebooks/).
   • Script (example pattern): python scripts/train.py --data data/breast_cancer.csv --out models/model.pkl.