k-nearest-neighbor-classifier

Here are 121 public repositories matching this topic...

bkrai / Top-10-Machine-Learning-Methods-With-R

Includes top ten must know machine learning methods with R.

machine-learning random-forest naive-bayes-classifier pca-analysis logistic-regression decision-tree cluster-analysis market-basket-analysis extreme-gradient-boosting k-nearest-neighbor-classifier

Updated Oct 6, 2024

eonu / sequentia

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Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

python machine-learning hmm time-series dtw multivariate knn dynamic-time-warping sequence-classification hidden-markov-models sequential-patterns time-series-classification multivariate-timeseries variable-length classification-algorithms k-nearest-neighbor-classifier

Updated Dec 27, 2024
Python

Ruban2205 / Iris_Classification

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This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.

machine-learning logistic-regression iris-dataset support-vector-classifier logistic-regression-algorithm navie-bayes-algorithm iris-classification k-nearest-neighbor-classifier

Updated Oct 4, 2023
Jupyter Notebook

HassanMahmoodKhan / Machine-Learning-Based-Fault-Diagnosis-of-Electric-Drives

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Fault diagnosis of some critical and non-critical faults in electric drives using anomaly detection.

machine-learning random-forest classification multiclass-classification fault-detection fault-diagnosis k-nearest-neighbor-classifier

Updated May 21, 2023
Jupyter Notebook

Amatofrancesco99 / KNN-OpenMPI

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An Open MPI implementation of the well known K-Nearest Neighbors (Machine Learning) classifier.

cpp machine-learning-algorithms openmpi k-nearest-neighbor-classifier

Updated Feb 24, 2023
Jupyter Notebook

felipexw / knn-java-library

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Just a simple implementation of K-Nearest Neighbour algorithm.

data-science machine-learning supervised-learning knn k-nearest-neighbours supervised-machine-learning knn-classification supervised-learning-algorithms knn-classifier knn-algorithm k-nearest-neighbor-classifier supervised-learning-classifiers

Updated Sep 8, 2016
Java

shanathvemula / framework_for_superwised_prediction2

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python django numpy pandas-dataframe sklearn pandas supervised-learning logistic-regression mechanical-keyboard support-vector-machines decision-tree-classifier numpy-arrays navie-bayes-algorithm k-nearest-neighbor-classifier

Updated Jun 3, 2021
JavaScript

Ayantika22 / PCA-Principle-Component-Analysis-For-Seed-Dataset

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PCA(Principle Component Analysis) For Seed Dataset in Machine Learning

classifier machine-learning jupyter-notebook classification accuracy logistic-regression python-3 unsupervised-learning support-vector-machines decision-tree-classifier principle-component-analysis random-forest-classifier knn-classifier gaussian-naive-bayes seed-dataset k-nearest-neighbor-classifier dimensionality-reduction-technique cohen-kappa

Updated Jun 30, 2020
Jupyter Notebook

rtimbro185 / syr_mads_ist707_data_analytics

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Syracuse University, Masters of Applied Data Science - IST 707 Data Analytics

data-mining r naive-bayes machine-learning-algorithms jupyter-notebook python3 support-vector-machines apriori-algorithm market-basket-analysis random-forest-classifier association-rule-mining k-nearest-neighbor-classifier

Updated Jan 15, 2020
Jupyter Notebook

shaadclt / Iris-Species-Detection-KNN

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This project involves detecting iris species using the k-nearest neighbors (KNN) algorithm in Jupyter Notebook. The iris species detection task is a classic problem in machine learning, where the goal is to classify iris flowers into different species based on their measurements.

k-nearest-neighbor-classifier

Updated Jul 8, 2023
Jupyter Notebook

ManuelElizaldi / PyStrava

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This project is using Strava's API to download and process my workout data.

data-science fitness data-engineering sql-database strava-api google-apis workout-tracker k-nearest-neighbor-classifier data-etl-pipeline

Updated Oct 30, 2024
Jupyter Notebook

shaadclt / Heart-Disease-Prediction-KNN

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This project focuses on predicting heart disease using the K-Nearest Neighbors (KNN) classification algorithm implemented in a Jupyter Notebook. It aims to provide a tool that can assist in early detection and diagnosis of heart disease based on given input features.

k-nearest-neighbor-classifier

Updated Jul 7, 2023
Jupyter Notebook

matheus695p / fraud-detection

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Fraud detection

nn xgboost vae logistic-regression convolutional-neural-networks gans svm-classifier k-nearest-neighbor-classifier tabgan

Updated Jun 13, 2021
HTML

tboudart / Life-Expectancy-Regression-Analysis-and-Classification

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I contributed to a group project using the Life Expectancy (WHO) dataset from Kaggle where I performed regression analysis to predict life expectancy and classification to classify countries as developed or developing. The project was completed in Python using the pandas, Matplotlib, NumPy, seaborn, scikit-learn, and statsmodels libraries. The r…

python numpy scikit-learn pandas seaborn naive-bayes-classifier jupyter-notebooks ridge-regression statsmodels decision-tree-classifier gradient-boosting-classifier lasso-regression support-vector-classifier random-forest-classifier random-forest-regression ordinary-least-squares matplotlib-pyplot k-nearest-neighbor-classifier adaboost-classifier

Updated Jun 29, 2021
Jupyter Notebook

liyongh1 / KNN-Classification-with-Breast-Cancer-Data

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machine-learning-algorithms breast-cancer-classification k-nearest-neighbor-classifier

Updated Dec 24, 2020
Jupyter Notebook

Omanshu209 / Diagnosify-KNN

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This is a Python - based application that predicts diseases based on the symptoms inputted by the user using machine learning (KNN classifier algorithm).

python machine-learning scikit-learn jupyter-notebook python3 kivy kivymd k-nearest-neighbor-classifier

Updated Aug 26, 2023
Jupyter Notebook

KhaledAshrafH / KNN-Classifier

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This repository contains a Python implementation of a K-Nearest Neighbors (KNN) classifier from scratch. It's applied to the "BankNote_Authentication" dataset, which consists of four features (variance, skew, curtosis, and entropy) and a class attribute indicating whether a banknote is real or forged.