Description

<p>One of the most well-liked and sought-after machine learning projects for students is the <strong>Breast Cancer Prediction System</strong>. In addition to robust <strong>machine learning algorithms</strong> and libraries, it is developed with the <strong>Python Django framework</strong>. This project is ideal for students who want to use datasets to create a medical diagnostic prediction system, as well as for <strong>mini projects with source code</strong> and <strong>final year computer science projects</strong>. Through the analysis of medical factors, this web-based program assists in predicting whether a patient is likely to have malignant (cancerous) or benign (non-cancerous) tumors. Using the <strong>Breast Cancer Dataset</strong>, the system evaluates the model using <strong>classification_report</strong> and applies <strong>RandomForestClassifier</strong> with <strong>StandardScaler</strong> for feature scaling. The application keeps a <strong>prediction history</strong> for the user’s reference and guarantees reliable outcomes.</p>