Topic: knearest-neighbors Goto Github
Some thing interesting about knearest-neighbors
Some thing interesting about knearest-neighbors
knearest-neighbors,This repository has a code (function) for K-Nearest Neighbours models. The model is tested on a dataset and compared with the slkearn KNN models. There is runtime analysis and accuracy analysis of the sklearn KNN models for classification and regression.
User: akhileshravi
knearest-neighbors,This project is an application for classifying the quality of coconuts using the K Nearest Neighbors algorithm. It is built with Streamlit for easy deployment.
User: ammarsufyan
Home Page: https://coconutquality.streamlit.app
knearest-neighbors,Build a Predictive model to forecast the sales of Rossmann store and uploaded the project to the challenge put forth by Rossmann Store
User: amruthalgowda
knearest-neighbors,Credit Card Fraud Detection: Study and Implementation
User: arnavdutta
knearest-neighbors,n this project I used different regression algorithms to predict flight delay. I used Kaggles free GPUs and Datasets from Zindi in this project. Those different algorithms include random forrest, decision tree, xgboost and so on. Initially I used feature engineering and used data visualization techniques to get my data into the best shape.
User: ashiqueeelahi
knearest-neighbors,Octree/Quadtree/N-dimensional linear tree
User: attcs
knearest-neighbors,This model predicts whether the survivors of the Titanic survived or not. In this file, different classification models are compared and predictions are done from the model(s) having highest accuracy. Here, 'training_data.csv' is used for training and testing the models and 'testing data.csv' is used for predictions. These data sets are from Kaggle
User: awiksshiith-narang
knearest-neighbors,In this project the data is been used from UCI Machinery Repository. Main aim of this project is to predict telling tumor of each patient is Benign (class – 2) or Malignant (class – 4) the models used are – Decision tree Classification, Logistic Regression, K-Nearest Neighbors, SVM, Kernel SVM, Naïve-Bayes and Random Forest Classification.
User: bhavya840
knearest-neighbors,Flight_Price Prediction using Machine Learning.(Regression Use Case)
User: chandrakant817
knearest-neighbors,
User: claudiacook
knearest-neighbors,Exploring the world of Bioinformatics using various machine learning algorithms
User: codekhal
Home Page: https://codekhal.github.io/DNA-Classification/
knearest-neighbors,Data preprocessing of raw airline data and predicting prices through various different regression algorithms. Also dumping the model and reusing it for new data.
User: dhrumil-zion
knearest-neighbors,Intro to k-nearest neighbors (KNN) with cuML.
Organization: dropout-analytics
knearest-neighbors,Demonstrating different Machine Learning Model
User: foofx88
knearest-neighbors,A semantic search engine to find questions semantically similar to given query using Elastic Search, Tensorflow, Universal Sentence Encoder, AWS Lambda, API Gateway
User: gborn
knearest-neighbors,Compared the metrics and performance of different classification algorithms on Heart Failure dataset from UCI ML Repository
User: grvnair
knearest-neighbors,Created a Python program for K Nearest Neighbor Algorithm implementation from scratch. Determined the Euclidean distance between the data points to classify a new data point as per the maximum number of nearest neighbors. Implemented the algorithm on sklearn’s IRIS dataset which achieved an accuracy of 95.56%.
User: grvnair
knearest-neighbors,The purpose of this project is to promote understanding -- my own and others' -- of fundamental data science and machine learning concepts and tools. It currently consists of one notebook that classifies fruit types based on weight, volume, and image data.
User: gtrunz
knearest-neighbors,To check the data belongs to which class of Iris plant. (Famous data Set: 'Iris.csv')
User: hassaniftikhar24
knearest-neighbors, Using Machine Learning to rank a list of customers most likely to buy a Car Insurance for a cross-sell campaign.
User: igorvgp
knearest-neighbors,Project 1 for Introduction to Machine Learning course.
User: janskwr
knearest-neighbors,DataHipsters is a service implementing MinHash similarity on a Key-Value Database (Google AppEngine/GCloud), including an API for k-nearest neighbors (k-nn) used in Online Recommender Systems.
User: jio-gl
knearest-neighbors,AU331机器学习与知识发现课程项目——拍照矩阵计算器开发
User: k1nght
knearest-neighbors,This is a repository to document my progress in learning the basics of common machine learning algorithms.
User: krushaybhavsar
Home Page: https://github.com/krushaybhavsar/learning-machine-learning
knearest-neighbors,Machine Learning Hyperparameter Optimization (Grid Search and Random Search)
User: leilaza
knearest-neighbors,A simple implementation of K Nearest Neighbors classifier model in python.
User: mahesh147
knearest-neighbors,Simple KNN project based on an unlabeled dataset (created artificially).
User: marcvana
knearest-neighbors,C++ implementation for machine learning algorithm K-NN
User: mddragnev
knearest-neighbors,A swift implementation of a KNearestNeighbour Classifier in swift.
User: mdsahilak
knearest-neighbors,Esse pequeno projeto tem como objetivo fazer testes de acurácia com rede neural com apenas um neurônio sem classificadores e com 2 (dois) classificadores, sendo eles KNN e 1R.
User: ms-daniel
knearest-neighbors,MNIST Digit Classification using an ANN, k-Nearest Neighbour and hybrid of the two.
User: oaarnikoivu
knearest-neighbors,Building a ML model that can predicts the species of the flower from the measurements of the petal and the sepal
User: parismollo
knearest-neighbors,Predicting the champion of the 2023 Cricket World Cup through the implementation of the Random Forest algorithm.
User: paul-andrew-15
knearest-neighbors,An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
User: pragmaticpython
knearest-neighbors,Implementing classical Machine Learning algorithms from scratch
User: pranaymethuku
knearest-neighbors,A multiclass classification problem to classify malware classes.
User: pranshu1921
knearest-neighbors,Implementation of the The k-nearest neighbors (KNN) algorithm. A machine learning algorithm that can be used to solve both classification and regression problems.
User: radostinaivanova
knearest-neighbors,Machine learning and Deep learning project
User: rajaprerak
Home Page: https://ml-dl-webapp.herokuapp.com/
knearest-neighbors,Data Science - K-Nearest Neighbors (KNN) Work
User: saikrishnabudi
knearest-neighbors,In this repository I am gonna show the main and most popular non-supervised clustering algorithms with short explanations.
User: santiagoahl
knearest-neighbors,Sklearn, logistic regression, Naive Bayes classifier, K-Nearest Neighbors, decision trees
User: sarvandani
knearest-neighbors,Self Work Coding Files related to Data Science
User: satrapankti
knearest-neighbors,Predicting the results of the given transactions by classification
User: smh997
knearest-neighbors,machine learning projects with python
User: sunnyr3
knearest-neighbors,Image classification in the gastrointestinal tract with KNN and CNN
User: tomassams
knearest-neighbors,Knn implementation without K parameter
User: ullayne02
knearest-neighbors,A Python library of 'old school' machine learning methods such as linear regression, logistic regression, naive Bayes, k-nearest neighbors, decision trees, and support vector machines.
User: viktorc
knearest-neighbors,In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
User: walidkw
Home Page: https://www.kaggle.com/competitions/titanic
knearest-neighbors,Recommendation System Using K-Nearest Neighbors .
User: z4ck404
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