Description: Breast Cancer Classification Using Machine Learning
This project aims to develop a Breast Cancer Classification Model using the Breast Cancer Wisconsin Dataset. The project involves building and evaluating individual models using Neural Networks (NN) and Support Vector Machines (SVM), creating an Ensemble Classifier that combines Logistic Regression, K-Nearest Neighbors (KNN), and SVM, applying K-Means clustering for tumor classification, and comparing model performance based on accuracy, precision, recall, and F1-score. The project requires expertise in machine learning and Python programming for building and evaluating individual models, creating an Ensemble Classifier, applying K-Means clustering, and comparing model performance. The deliverables include well-documented Python code and a technical report summarizing findings and analysis.
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01-Jun-2026 16:03 GMT
Dynamic Modeling of Information in Distributed Systems Category: Data Analysis, Data Modeling, Data Science, Distributed Systems, Mathematics, R Programming Language, SPSS Statistics, Statistical Analysis, Statistical Modeling, Statistics Budget: $30 - $250 USD
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