k-neighbors-classifier

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DohaoSTR /dental-caries-analysis

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Dental caries analysis. For analysis i used: k-means clustering, k-neighbors classifier, decision tree classifier. Libraries: scikit-learn.

data-science data-analysis decision-tree-classifier k-means-clustering sckiit-learn dental-caries k-neighbors-classifier

UpdatedMar 15, 2024
Python

DohaoSTR /coronary-heart-disease-analysis

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Coronary heart disease analysis, dataset -https://www.kaggle.com/datasets/billbasener/coronary-heart-disease. For analysis i used: k-means clustering, k-neighbors classifier, decision tree classifier. Libraries: scikit-learn.

data-science data-mining decision-tree-classifier k-means-clustering sckiit-learn coronary-heart-disease k-neighbors-classifier

UpdatedMar 15, 2024
Python

nirmalyabag20 /Wine-Quality-Prediction-Machine-Learning

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This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.

python machine-learning random-forest numpy pandas seaborn logistic-regression matplotlib svc k-neighbors-classifier

UpdatedSep 5, 2024
Jupyter Notebook

vidisha999 /Classification-and-Prediction-of-Heart-Diseases-Dataquest-Project

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Using supervised Machine Learning algorithms to build models for classification of Heart Diseases among patients and predicting the risk of getting a Heart Disease in the future.

logistic-regression predictive-modeling supervised-machine-learning dataquest classifier-model heart-disease scikit-learn-python k-neighbors-classifier

UpdatedDec 7, 2024
Jupyter Notebook

AloRay /CREDIT-CARD-FRAUD

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This project focuses on building a fraud detection model for credit card transactions using a dataset containing transactions made by European cardholders in September 2013. We are working with a highly unbalanced dataset and the challenge lies in effectively detecting fraudulent transactions while minimizing false positives.

decision-tree svc smote-oversampler sgdclassifier k-neighbors-classifier

UpdatedMay 13, 2024
Jupyter Notebook

DohaoSTR /stroke_analysis

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Stroke analysis, dataset -https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset. For analysis i used: mlp classifier, k-means clustering, k-neighbors classifier. Libraries: tensorflow, scikit-learn.

data-science data-mining tensorflow scikit-learn k-means-clustering mlp-classifier tree-decision-classifier stroke-prediction k-neighbors-classifier stroke-analysis

UpdatedMar 17, 2024
Python

SHASHANK123-code /heart-disease-prediction

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ML model to predict cardiovascular disease

numpy svm pandas seaborn logistic-regression decision-tree-classifier random-forest-classifier matplotlib-pyplot train-test-split k-neighbors-classifier standerdscaler

UpdatedMay 13, 2025

Sidra0823 /Heart-Disease-Prediction

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Heart-Disease Prediction

python machine-learning random-forest numpy pandas matplotlib decision-trees support-vector-classifier k-neighbors-classifier sciket-learn

UpdatedJun 20, 2025
Jupyter Notebook

fuadh246 /credit-score-classification

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Credit scoring is a crucial task in financial institutions to assess the creditworthiness of individuals or businesses. This project focuses on building classification models to predict credit scores based on various features such as income, debt, and credit history.

random-forest logistic-regression decision-trees linear-svc k-neighbors-classifier

UpdatedJan 22, 2025
Jupyter Notebook

NidhiSingh1111 /Credit-Card-Fraud-Detection

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The datasets contains transactions made by credit cards in September 2013 by european cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions.

python data-science random-forest machine-learning-algorithms naive-bayes-classifier supervised-learning xgboost logistic-regression support-vector-machine adaboost decision-tree credit-card-fraud-detection k-neighbors-classifier

UpdatedMay 21, 2024
Jupyter Notebook

aonurakman /ML-Algorithms-on-Custom-RealEstate-Dataset

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Experimenting ML Algorithms, feature selection, cross validation and feature transformation on self-annotated custom Eskişehir real estate dataset. - 2021 - Yildiz Technical University

python linear-regression pca decision-tree-classifier kfold-cross-validation real-estate-dataset k-neighbors-classifier