Breast Cancer Detection using Machine learning and Deep learning algorithms

Breast cancer is a leading cause of cancerrelated deaths among women worldwide. Improved survival ratio and effective treatment depend on early and accurate identification. Using a dataset of breast ultrasound pictures, this study investigates a machine learning and deep learning method to identify the cancer. This study combines deep learning models like Convolutional Neural Networks (CNN) with conventional ML methods including Support Vector Machines (SVM), Logistic Regression, and K-Nearest Neighbors (KNN)