This Streamlit app is designed to predict the likelihood of breast cancer based on patient input features. It provides quick, data-driven insights that can help users understand potential risks.
Breast Cancer Single Cell Atlas
Classifying Breast Cancer Molecular Subtypes
This repository contains all classification code implementations for the listed datasets. The projects include data preprocessing, model training and evaluation, with a focus on reproducibility and robust analysis.
Here, I am sharing my summary of machine learning algorithms and my solution of some well-know Machine Learning projects.
Classify a breast cancer dataset via an SVM and clustering.
Exploratory Data Analysis of the Breast Cancer Wisconsin (Diagnostic) dataset, uncovering patterns that separate benign and malignant tumors.
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College-Project, A AI Model to predict whether a breast cancer tumor is malignant or benign based on a dataset of cell features from breast tissue.
Project for the course of Network modeling and simulation
AI-powered disease prediction system for breast cancer, heart disease, and diabetes using Java and machine learning.
Preliminary analysis from a retrospective cohort study analysing the patterns, presentation and risk factors associated with Breast Cancer in a tertiary facility in SouthWest Nigeria
This repository is used to explore the usage of CNNs model for the purpose of breast cancer detection
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