Breast_Cancer_Deep_learning_tensorflow

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Breast_Cancer_Deep_learning_tensorflow

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A deep learning model built using TensorFlow to classify breast cancer tumors as malignant or benign using the Breast Cancer dataset.

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# Breast Cancer Deep Learning Classification (TensorFlow)

A deep learning model built using **TensorFlow** to classify breast cancer tumors as **malignant** or **benign** using the Breast Cancer dataset.

## 📌 Project Summary

This project implements a neural network model for binary classification of breast cancer.

It uses:
- TensorFlow (Keras) for building and training the deep learning model
- Scikit-learn for dataset loading and preprocessing
- Data analysis & evaluation metrics to measure performance

Dataset: **Breast Cancer Wisconsin Dataset** (included in scikit-learn)

## 🛠️ Requirements

Install the required libraries:

```bash
pip install numpy pandas scikit-learn tensorflow matplotlib
```
▶️ How to Run
Clone the repository:
```
git clone https://github.com/DhanushN2005/Breast_Cancer_Deep_learning_tensorflow.git
```
Change into the project directory:
```
cd Breast_Cancer_Deep_learning_tensorflow
```
Launch Jupyter Notebook:
```
jupyter notebook
```
Open and run:
```
Breast_Cancer_Deep_learning_tensorflow.ipynb
```

Breast_Cancer_Deep_learning_tensorflow

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