Breast-Cancer-Classification

This project aims to classify breast cancer using a neural network model. The dataset used is the Breast Cancer Wisconsin dataset from Kaggle

Requirements

To run this notebook, you need the following libraries:

• numpy
• pandas
• kagglehub

You can install the required libraries using the following command:

pip install numpy pandas kagglehub

Dataset

The dataset is downloaded from Kaggle using the kagglehub library. The dataset contains features computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image

Usage

• Clone the repository and navigate to the project directory
• Open the Breast_Cancer_Classification_with_NN.ipynb notebook
• Run the cells in the notebook to download the dataset, preprocess the data, and train the neural network model
• The dataset is then loaded into a pandas DataFrame:

  import os
  file_path = os.path.join(path, 'data.csv')
  df = pd.read_csv(file_path)