GitHub topics: breast-cancer-dataset

Repositories

LidiaGarrucho/MAMA-MIA

The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations

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madhurimarawat/Machine-Learning-Using-Python

This repository contains machine learning programs in the Python programming language.

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prashant-g0/breast-cancer-detection-using-machine-learning

A machine learning-based web app that predicts whether a breast tumor is Benign or Malignant using 29 medical features. Users can input data manually or upload a PDF report for automatic feature extraction. Built with Flask, Bootstrap, and PyMuPDF.

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faisalnjs/Breast-Cancer-Research

Open Source Breast Cancer Research for Summer Research Program ASIME 2024 @ Adelphi University, New York. Data from the UV Irvine Machine Learning Repository.

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swati-rajwal/BreastCancer_tweets_project

Submission for CL4HEALTH @ LREC-COLING 2024

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pavleen14/Machine-Learning-Lab

Experiments for machine learning lab (ETCS 402) have been added here.

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rehmanzafar/dlime_experiments

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

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TrilokiDA/Datasets

Size: 4.11 MB - Last synced at: 5 months ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

parthrangarajan/WIB-EDA_StreamLit

This is a SteamLit Web-App which delves in Exploratory Data Analysis with Iris, Breast-Cancer and Wine datasets using ML models like KNN's, SVM's and Random Forests

Language: Python - Size: 138 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

abdul-rasool/Improved-machine-learning-based-Predictive-Models-for-Breast-Cancer-Diagnosis

Breast cancer diagnoses with four different machine learning classifiers (SVM, LR, KNN, and EC) by utilizing data exploratory techniques (DET) at Wisconsin Diagnostic Breast Cancer (WDBC) and Breast Cancer Coimbra Dataset (BCCD).

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Ashwill-Daniels/Breast-cancer-patient-information

I analyzed a public dataset from Kaggle.com. It consists of breast cancer patient information.

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anshul1004/DecisionTree

Decision Tree classifier from scratch without any machine learning libraries

Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 6

bharatkulmani/Breast-Cancer-lazypredict

This Program is for Prediction of Breast Cancer

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harrypnh/decision-tree-from-scratch

Decision Tree Algorithm written in Python with NumPy and Pandas

Language: Python - Size: 96.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 11

Abdullahw72/Breast-Cancer-Chatbot

Medical Chatbot for Breast Cancer Care

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harrypnh/random-forest-from-scratch

Random Forest Algorithm written in Python using NumPy and Pandas

Language: Python - Size: 104 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

existentialplantperson/Week_10

Week 10 - Intro to Linear Algebra in Python

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anantgupta129/XGBoost-for-Machine-Learning

XGBoost Model for Machine Learning implementation on breast cancer dataset in Python and churm modelling in R

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FehintolaObafemi/breast-cancer-analysis

[Big Data Analytics] This analysis aims to observe which features are most helpful in predicting malignant or benign cancer and to see general trends that may aid us in model selection and hyper parameter selection.

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