Breast Cancer Detection using Machine Learning Algorithms This repository contains my first project for a machine learning course, focusing on breast cancer detection.The project involves a comprehensive comparison of several popular machine learning algorithms, evaluating their performance on a breast cancer dataset. The goal is to identify the most effective algorithm for accurate and reliable predictions.

Key Features:

Preprocessing and exploration of the breast cancer dataset. Implementation of multiple machine learning algorithms, including:

Decision Trees Random Forest ANN Support Vector Machines (SVM) k-Nearest Neighbors (kNN) Logistic Regression Naive Bayes

Performance comparison using metrics such as accuracy, precision, recall, and F1-score. Visualization of results to highlight the strengths and weaknesses of each algorithm.