Breast cancer detection using machine learning with deployment of model

Breast cancer detection using machine learning classification is a project where you build a model to identify whether a given set of medical features indicates the presence of breast cancer. This project involves using a labeled dataset of medical records, where each record is classified as either indicating breast cancer or not.

Predicts whether the type of breast cancer is Malignant or Benign

Developing an advanced Breast Cancer Classification system using state-of-the-art Deep Learning techniques. This project aims to enhance early detection by analyzing Fine needle aspiration is a type of biopsy procedure's dataset, leveraging neural networks (NNs) and other deep learning architectures.