Topic: k-nn Goto Github
Some thing interesting about k-nn
Some thing interesting about k-nn
k-nn,Breast Cancer Prediction using K-NN, Machine Learning/Artificial Intelligence Algorithm on Python sckilearn
User: abbasogaji
k-nn,Gained insights into the New York City Airbnb rental properties and concluded the neighbourhoods with most attractive Airbnb rentals and the type of rental properties with most reviews. Furthermore, concluded the economic viability of the rentals with missing reviews through machine learning models such as k-NN, decision tree and gradient boosted tree (GBT) classifiers implemented via data science platform RapidMiner.
User: ahujaya
k-nn,Welcome to my Classical Learning Projects repository, where I showcase my work in the fields of supervised and unsupervised learning. Here, you'll find code and datasets for various projects, such as classification and clustering tasks, implemented using popular algorithms like decision trees, neural networks, and k-means.
User: alirezarahimi1393
k-nn,Data Science, Algorithms, Notes, Learn
User: anishchapagain
k-nn,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.
User: anishsingh20
Home Page: http://rpubs.com/anish20
k-nn,This machine learning initiative seeks to leverage the k-Nearest Neighbors (k-NN) classification algorithm to predict whether a Universal Bank will accept a personal loan offer.
User: ankhanhquach
k-nn,PyTorch implementation of following: Transfer Learning, Feature Extraction from deep network, k-NN
User: avncode
k-nn,KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
User: ayoub-etoullali
k-nn,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.
User: aysenuryilmazz
k-nn,Tour of Machine Learning Algorithms for Binary/Multiclass Classification
User: bagheri365
Home Page: https://bagheri365.github.io/blog/
k-nn,Simpsons Members Recognizer Supervised Machine Learning Algorithm.
User: brenofariasdasilva
k-nn,Diverse algorithms related to Machine Learning
User: danaluz
k-nn,🔢 A self-introduction to machine learning. Simple application that recognises handwritten/mouse drawn digits from 0-9.
User: doncharleslambert
k-nn,Web interactive streamlit dashboard for credit scoring interpretation
User: etiennelardeur
Home Page: https://share.streamlit.io/etiennelardeur/streamlit_app/main/local_app.py
k-nn,Machine Learning tasks and mini projects based on my learning in a Datascience bootcamp in Udemy
User: eyal-bahar
k-nn,Using classic machine learning models - K-NN, Multiclass Logistic Regression, SVM and Random Forest to make predictions
User: farahsamat
k-nn,Topographical Representation in an Associative Learning Task Using BSS Analysis on MEG Signals
User: fardinafdideh
k-nn,A basic fruit sorter using k-means and k-nn.
User: ginoavanzini
k-nn,Decision Tree & K-NN Classifiers implementations for ML Course @ ITBA
User: giulianos
k-nn,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.
User: gonzafernan
k-nn,Breast cancer data analysis and machine learning
User: gtraskas
k-nn,K-Nearest-Neighbors
User: hyzhak
k-nn,Testing face recognition power of different algorithms on ORL database.
User: lucianodainic
k-nn,Projeto desenvolvido durante a disciplina SIN 492 - Reconhecimento de Padrões, da Universidade Federal de Viçosa - Campus Rio Paranaíba.
User: luissaster
k-nn,Classify known sites from around the world, given challenging and very big data set. This project is based on a kaggle competition.
User: matankleiner
k-nn,This is a repository for implementing statistical learning models from scratch using the Python and Java programming languages.
User: mdkearns
k-nn,TFG realizado en la Universidad de Burgos del desarrollo de una aplicación para el uso de un Radar de 60 GHz de la marca Acconeer.
User: mecyc
k-nn,A robust classifier for few-training-data problem based on a distributionally robust optimization framework
User: meowoodie
k-nn,BigData Analysis - Breast Cancer Wisconsin Dataset (R, PCA, Machine Learning, ggplot2, dplyr): Exploring Kaggle's 'Breast Cancer Wisconsin (Original)' dataset. Objective: Develop a classification algorithm for benign/malignant tumor detection using PCA for dimensionality reduction and k-NN for classification. Achieved over 95% data retention.
User: mikel-ua
k-nn,Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.
User: mikhail-kukuyev
k-nn,In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
User: nikronic
k-nn,The k-NN tool is to provide a generic tool to conduct k Nearest Neighbour (k-NN) prediction of continuous forest target variables of interest. In the context of Ecosystem Restoration monitoring, the tool allows wall-to-wall propagation of the variables of interest using field reference data and provided EO datasets. Part of the PEOPLE-ER project.
Organization: people-er
Home Page: https://www.people-er.info/
k-nn,Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++
User: petropoulakispanagiotis
k-nn,An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
User: pragmaticpython
k-nn,Audio Pattern Recognition project - Music Genres Classification
User: sabaudian
k-nn,Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Organization: sisinflab
k-nn,I am partaking in research with my professor Dr. Boxiang Dong at Montclair State University in using deep learning techniques for anomaly detection. This project is to help with that research, specifically in implementing Machine Learning classifiers and more.
User: ssamkough
k-nn,Machine Learning : Applied KNN on Breast Cancer data to find the result
User: subhashreebarik
k-nn,a machine learning training project
User: summersnowwintercat
k-nn,DP-kNN: Short-Term Traffic Forecasting Using Self-Adjusting k-Nearest Neighbours
User: sunnybingome
Home Page: http://about.dmml.nu
k-nn,Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
User: vioshyvo
k-nn,Built a voice-controlled car from scratch incorporating machine learning methods such as the Euclidean Classifier and k-NN Classifier, open and closed loop feedback control systems, principal component analysis, regression analysis, and transient analysis
User: vt2211
k-nn,GeoAdEx: A geometric approach for finding minimum-norm adversarial examples on k-NN classifiers
Organization: wagner-group
Home Page: https://arxiv.org/abs/2011.09719
k-nn,CNIT 581-ATR Fall 2017 – Smart Cane Team: Wonse Jo and Shyam Sundar Kannan
User: wonsu0513
k-nn,My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
User: yell
k-nn,Plain python implementations of basic machine learning algorithms
User: zotroneneis
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