breast-cancer-dataset
There are 23 repositories under breast-cancer-dataset topic.
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).
harrypnh/decision-tree-from-scratch
Decision Tree Algorithm written in Python with NumPy and Pandas
anshul1004/DecisionTree
Decision Tree classifier from scratch without any machine learning libraries
Abdullahw72/Breast-Cancer-Chatbot
Medical Chatbot for Breast Cancer Care
LidiaGarrucho/MAMA-MIA
The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
swati-rajwal/BreastCancer_tweets_project
Submission for CL4HEALTH @ LREC-COLING 2024
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).
harrypnh/random-forest-from-scratch
Random Forest Algorithm written in Python using NumPy and Pandas
bharatkulmani/Breast-Cancer-lazypredict
This Program is for Prediction of Breast Cancer
bissessk/Decision-Tree-Classifier-on-Breast-Cancer-Data
Decision Tree Classification was explored on Breast Cancer Data.
anantgupta129/XGBoost-for-Machine-Learning
XGBoost Model for Machine Learning implementation on breast cancer dataset in Python and churm modelling in R
i2a-k/Machine-Learning-and-Pattern-Recognition
Implementation of some classification and clustering methods
madhurimarawat/Machine-Learning-Using-Python
This repository contains machine learning programs in the Python programming language.
pavleen14/Machine-Learning-Lab
Experiments for machine learning lab (ETCS 402) have been added here.
Ashwill-Daniels/Breast-cancer-patient-information
I analyzed a public dataset from Kaggle.com. It consists of breast cancer patient information.
DiouaneAbdallah/Analyse-des-composantes-principales-PCA-
L'analyse des composantes principales essaie de trouver les axes principaux qui sont des variables décorrélées qui décrivent au mieux nos données.
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.
sunidhit/machinelearning
Machine learning algorithms using Numpy and Pandas
sunidhit/MLProject
Optimization of KNN and Linear regression algorithms
existentialplantperson/Week_10
Week 10 - Intro to Linear Algebra in Python
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
Stevenh825-git/Breast-Cancer-Analysis
Uses data analysis tools to investigate potential factors towards a patient’s survival of breast cancer. Such as, protein evaluation levels, types of surgery, stages of cancer, & patient’s age.