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This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

Updated Apr 7, 2018
R

PetropoulakisPanagiotis / nearest-neighbor-search

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Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++

machine-learning cplusplus lsh nearest-neighbor-search locality-sensitive-hashing euclidean nearest-neighbors approximate-nearest-neighbor-search cosine hypercube cplusplus-11 k-nn radius-neighbors approximate-nearest-neighbors

Updated Jan 4, 2021
C++

CoolerVoid / libfast_knn

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C++ library of k-nearest neighbors algorithm (k-NN), faster because uses Armadillo lib

cpp classification armadillo knearest-neighbor-algorithm k-nn

Updated Jul 16, 2017
C++

kfolds / nn_descent

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A C implementation of "Efficient K-Nearest Neighbor Graph Construction for Generic Similarity Measures"

c approximate-nearest-neighbor-search k-nn k-nearest-neighbors knn-algorithm

Updated Nov 14, 2021
C

pragmaticpython / k-nearest-neighbors-python

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An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

python machine-learning machine-learning-algorithms python3 machinelearning knn k-nearest-neighbours knearest-neighbor-algorithm k-nn knearest-neighbor-classifier knn-classification k-nearest-neighbor knn-model k-nearest-neighbors knn-classifier knearest-neighbors-classifier knearest-neighbor-classification knearest-neighbors knn-algorithm k-nearest-neighbors-k-nn

Updated Mar 3, 2019
Python

wagner-group / geoadex

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GeoAdEx: A geometric approach for finding minimum-norm adversarial examples on k-NN classifiers

voronoi-diagram k-nn adversarial-machine-learning adversarial-examples adversarial-attacks

Updated Oct 29, 2021
Jupyter Notebook

bagheri365 / ML-Models-for-Classification

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Tour of Machine Learning Algorithms for Binary/Multiclass Classification

random-forest svm naive-bayes logistic-regression multi-layer-perceptron decision-tree binary-classification k-nn quadratic-discriminant-analysis multiclass-classification voting-classifier linear-svm rbf-svm

Updated Sep 16, 2019
Jupyter Notebook

EtienneLardeur / Streamlit_App

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Web interactive streamlit dashboard for credit scoring interpretation

dashboard lightgbm credit-scoring lime k-nn shap streamlit

Updated Dec 18, 2020
Python

danaluz / AIAlgorithms

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Diverse algorithms related to Machine Learning

python ai machine-learning-algorithms pandas artificial-intelligence k-nn

Updated Sep 3, 2020
MATLAB

gonzafernan / fruit-classifier

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Clasificador de imagenes de bananas, naranjas y limones por medio de algoritmos de aprendizaje K-nn y K-means. Procesado de imágenes con SciKit y OpenCV.

python opencv scikit-learn scikit-image python3 artificial-intelligence k-means scikit k-nn kmeans-algorithm knn-classification

Updated Dec 19, 2018
Jupyter Notebook

hyzhak / k-nn

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K-Nearest-Neighbors

machine-learning classification k-nearest-neighbours k-nn

Updated Mar 28, 2017
Jupyter Notebook

GinoAvanzini / fruit-sorter

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A basic fruit sorter using k-means and k-nn.

python scikit-image artificial-intelligence k-means k-nn

Updated Mar 4, 2020
Jupyter Notebook

mikhail-kukuyev / ML-Course

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Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.

machine-learning svm linear-regression face-recognition adaboost ridge-regression libsvm viola-jones k-nn k-fold stochastic-gradient-descent liblinear haar-features gradient-descent-implementation pca-implementation adaptive-algorithm

Updated Jan 8, 2019
Jupyter Notebook

Eyal-Bahar / Learning-ML-projects

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Machine Learning tasks and mini projects based on my learning in a Datascience bootcamp in Udemy

data-science machine-learning random-forest clustering classification recommendation-system logistic-regression nlp-machine-learning k-nn

Updated Jul 13, 2021
Python

SummerSnowWinterCat / CAPTCHA_Identify

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a machine learning training project

python captcha k-nn

Updated Jul 2, 2021
Python

garciparedes / machine-learning-instance-based

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tex machine-learning article machine-learning-algorithms knn university-of-valladolid k-nn

Updated Apr 9, 2017
TeX

Aysenuryilmazz / Driver_Drowsiness_Detection

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Driver drowsiness is one of the causes of traffic accidents. According to the statistics; highway road crashes hold 11.09% of the total number of accidents. There are several reasons of drowsy driving such as: a lack of quality of sleep, may be overnight driving or having sleep disorders e.g. sleep apnea. However; all people should know that: People can not fight against to sleep. Using Image Processing and both classical and new-brand Machine Learning techniques, we are trying to know beforehand the driver's drowsiness and warning him/her with an alert before any crash happened.

computer-vision random-forest scikit-learn naive-bayes-algorithm opencv-python k-nn dlib-face-detection driver-drowsiness