breast-cancer-dataset

There are 2 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).
breast-cancer-dataset python3 random-forest classifiers neural-networks scikit-learn clusters xai explainable-ai explainable-ml lime dlime knn heirarchical-clustering machine-learning
Language:Jupyter Notebook 29
harrypnh / decision-tree-from-scratch
Decision Tree Algorithm written in Python with NumPy and Pandas
breast-cancer-dataset car-evaluation-dataset decision-tree machine-learning numpy
Language:Python 17
LidiaGarrucho / MAMA-MIA
The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
3d-segmentation benchmark-dataset breast-cancer breast-cancer-dataset cancer-imaging-research dce-mri deep-learning foundation-models medical-imaging mri-images mri-segmentation nnunet-v2 pretrained-models pretrained-weights public-dataset radiomics tumor-classification tumor-segmentation
Language:Jupyter Notebook 15
anshul1004 / DecisionTree
Decision Tree classifier from scratch without any machine learning libraries
decision-trees decision-tree decision-tree-classifier decision-tree-algorithm machine-learning classification-algorithm id3 id3-algorithm pruning entropy post-pruning advertisement breast-cancer-dataset iris-dataset supervised-learning overfitting gini-index classification-model decision-tree-model prediction
Language:Python 10
Abdullahw72 / Breast-Cancer-Chatbot
Medical Chatbot for Breast Cancer Care
medical-chatbot python breast-cancer breast-cancer-dataset fastapi neural-network neural-networks neuralnetwork python3 streamlit streamlit-webapp chatbots-examples machine-learning machine-learning-algorithms nlp nlp-machine-learning
Language:Jupyter Notebook 7
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).
breast-cancer breast-cancer-dataset breast-cancer-detection breast-cancer-diagnosis breast-cancer-prediction breast-cancer-tumor breast-cancer-wisconsin breastcancer-classification feature-extraction feature-selection machine-learning machine-learning-algorithms machinelearning-python
Language:Jupyter Notebook 4
harrypnh / random-forest-from-scratch
Random Forest Algorithm written in Python using NumPy and Pandas
random-forest machine-learning numpy car-evaluation-dataset breast-cancer-dataset
Language:Python 4
swati-rajwal / BreastCancer_tweets_project
Submission for CL4HEALTH @ LREC-COLING 2024
bertopic breast-cancer-dataset concerns nlp tweets-classification
Language:Jupyter Notebook 4
bharatkulmani / Breast-Cancer-lazypredict
This Program is for Prediction of Breast Cancer
breast-cancer-prediction lazypredict matplotlib numpy pandas python seaborn supervised-machine-learning breast-cancer-dataset
Language:Jupyter Notebook 2
bissessk / Decision-Tree-Classifier-on-Breast-Cancer-Data
Decision Tree Classification was explored on Breast Cancer Data.
machine-learning scikit-learn scikitlearn-machine-learning machine-learning-classification classification classification-model decision-trees decision-tree decision-tree-classifier breast-cancer breast-cancer-wisconsin breast-cancer-classification breast-cancer-prediction breastcancer-classification breast-cancer-dataset
Language:Jupyter Notebook 2
Machine-Learning-Using-Python
madhurimarawat / Machine-Learning-Using-Python
This repository contains machine learning programs in the Python programming language.
data-cleaning machine-learning-algorithms pandas python scikit-learn breast-cancer-dataset iris-dataset supervised-learning wine-dataset matplotlib decision-tree kaggle-datasets knn pca random-forest supervised-learning-algorithms svm unsupervised-learning-algorithms deep-learning single-neuron-neural-network
Language:Jupyter Notebook 2
anantgupta129 / XGBoost-for-Machine-Learning
XGBoost Model for Machine Learning implementation on breast cancer dataset in Python and churm modelling in R
breast-cancer-dataset machine-learning python uci-machine-learning xgboost xgboost-model
Language:Jupyter Notebook 1
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.
breast-cancer breast-cancer-classification breast-cancer-dataset breast-cancer-prediction breast-cancer-research breast-cancer-wisconsin research asime
Language:Jupyter Notebook 1
i2a-k / Machine-Learning-and-Pattern-Recognition
Implementation of some classification and clustering methods
machine-learning pattern-recognition classification knn k-nearest-neighbors bayesian-decision-theory conditional-risk minimum-mean-distance support-vector-machines svm roc-plot pca principal-component-analysis clustering hirarchical-clustering k-means k-fold-cross-validation iris-dataset breast-cancer-dataset
Language:Jupyter Notebook 1
pavleen14 / Machine-Learning-Lab
Experiments for machine learning lab (ETCS 402) have been added here.
decision-classifier machine-learning breast-cancer-dataset accuracy knn-classification regression-models kmeans-clustering naive-bayes-classification
Language:Jupyter Notebook 1
TrilokiDA / Datasets
datasets iris-dataset adevertisin-dataset tennis-dataset smsspam-dataset breast-cancer-dataset credit-card-dataset haberman-dataset restaurant-reviews-dataset
1
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.
pca pca-analysis breast-cancer-dataset principal-component-analysis principal-component-analysis-pca
Language:Jupyter Notebook 0
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.
data-science data-analysis data-visualization breast-cancer-prediction breast-cancer-classification breast-cancer-detection breast-cancer-dataset outlier-detection svm-classifier machine-learning big-data big-data-analytics
Language:Jupyter Notebook 0
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.
breast-cancer-dataset cancer r sql tableau visualization
Language:R 0
sunidhit / machinelearning
Machine learning algorithms using Numpy and Pandas
knn lasso iris-dataset breast-cancer-dataset classification-algorithm linear-regression machine-learning-algorithms spam-classification logistic-regression ridge-regression id3-algorithm perceptron
Language:Jupyter Notebook 0
sunidhit / MLProject
Optimization of KNN and Linear regression algorithms
knn-classification lasso-regression machine-learning-algorithms inverse-probability-weights breast-cancer-dataset boston-housing-price-prediction
Language:Jupyter Notebook 0
existentialplantperson / Week_10
Week 10 - Intro to Linear Algebra in Python
onehot-encoding latex pca dot-product cross-product python jupyter-notebook vectors matplotlib breast-cancer-dataset
Language:Jupyter Notebook
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
random-forest knn svm exploratory-data-analysis html-css sklearn streamlit webhosting iris-dataset breast-cancer-dataset wine-dataset
Language:Python

breast-cancer-dataset

rehmanzafar / dlime_experiments

harrypnh / decision-tree-from-scratch

LidiaGarrucho / MAMA-MIA

anshul1004 / DecisionTree

Abdullahw72 / Breast-Cancer-Chatbot

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

harrypnh / random-forest-from-scratch

swati-rajwal / BreastCancer_tweets_project

bharatkulmani / Breast-Cancer-lazypredict

bissessk / Decision-Tree-Classifier-on-Breast-Cancer-Data

madhurimarawat / Machine-Learning-Using-Python

anantgupta129 / XGBoost-for-Machine-Learning

faisalnjs / Breast-Cancer-Research

i2a-k / Machine-Learning-and-Pattern-Recognition

pavleen14 / Machine-Learning-Lab

TrilokiDA / Datasets

DiouaneAbdallah / Analyse-des-composantes-principales-PCA-

FehintolaObafemi / breast-cancer-analysis

Stevenh825-git / Breast-Cancer-Analysis

sunidhit / machinelearning

sunidhit / MLProject

existentialplantperson / Week_10

parthrangarajan / WIB-EDA_StreamLit