Topic: knearest-neighbor-classifier Goto Github
Some thing interesting about knearest-neighbor-classifier
Some thing interesting about knearest-neighbor-classifier
knearest-neighbor-classifier,This Machine Learning project is used to predict the disease based on the symptoms given by the user. It predicts using the best result obtained from several machine learning algorithms. It uses tkinter for GUI.
User: abhishekkohli
knearest-neighbor-classifier,Using Supervised Machine Learning Techniques for Chronic Kidney Disease Detection
User: akbarhusnoo
knearest-neighbor-classifier, Estimation of vital status of patients with ovarian cancer using Machine Learning models (K-Nearest-Neighbors, Support Vector Machine, Logistic Regression, Random Forest and XGBoost)
User: amoustakis
knearest-neighbor-classifier,In this project we predict credit card defaults using classification models.
User: anishjohnson
knearest-neighbor-classifier,This is a machine learning project that uses various machine learning alogorithms to predict whether a patient is suffering from heart disease or not. Here I am using variour machine learning algorithms like Random Forest classifier, XGBClassifier, GaussianNB, Decision Tree Classifier, K-Nearest Neighbours and Logistic Regression.
User: ankushmallick1100
knearest-neighbor-classifier,Build and evaluate various machine learning classification models using Python.
User: ansu-john
knearest-neighbor-classifier,Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .
User: ansu-john
knearest-neighbor-classifier,
User: bakerwade
knearest-neighbor-classifier,A collection of mini projects in R that apply statistical and machine learning methods and tools to solve data-driven problems
User: datagirlz19
knearest-neighbor-classifier,My learning outcomes and followup of a well instructed Coursera guided project by Ari Anastassiou.
User: digamjain
knearest-neighbor-classifier,This project aims to build a convolutional neural network (CNN) model that can classify handwritten digits from the MNIST dataset.
User: emman-24
knearest-neighbor-classifier,The aim of this study is to predict how likely individuals are to receive their H1N1 flu vaccine. We believe the prediction outputs (model and analysis) of this study will give public health professionals and policy makers, as an end user, a clear understanding of factors associated with low vaccination rates. This in turn, enables end users to systematically act on those features hindering people to get vaccinated.
User: emykes
knearest-neighbor-classifier,Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador
User: evernext10
knearest-neighbor-classifier,All solved lab of FAST NUCES Lahore campus _ 2022 Spring
User: fazeelkhalid
knearest-neighbor-classifier,Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.
User: felipexw
knearest-neighbor-classifier,Scrape OKCupid data and run data analysis and machine learning to better predict variables.
User: gkar90
knearest-neighbor-classifier,Here we detect diabetes based on some attribute values related to body
User: hemanth0808
knearest-neighbor-classifier,A python script that classifies iris flower species based on their various dimensions.
User: hernanrazo
knearest-neighbor-classifier,CSE 575 Statistical Machine Learning
User: iamjagdeesh
knearest-neighbor-classifier,K-Nearest Neighbors Classifier
User: jain-ruchi
knearest-neighbor-classifier,A machine-learning project to determine if a certain mushroom is edible or poisonous.
User: kanchitank
knearest-neighbor-classifier,
User: khaledtofailieh
knearest-neighbor-classifier,In this repository, I worked on Mental Health in Tech Survey which includes: Data Cleaning, Data Analysis, Machine Learning, Natural Language Processing and Word Cloud.
User: kmpatel100
knearest-neighbor-classifier,Used 5 different supervised machine learning algorithms and trained them with real data of people with and without liver disease. Then evaluated the results of each of them using different parameters to choose the best one.
User: kshitijshrivastava1903
knearest-neighbor-classifier,Use Machine Learning Models to predict customers' Behaviour if they'll buy our term insurance policy.
User: kuldipbhimani
knearest-neighbor-classifier,The fraud identification models were build using Python Scikit-learn machine-learning module.
User: lasanthagithub
knearest-neighbor-classifier,Implementing an Image classification neural network to classify Street House View Numbers
User: laxmichaudhary
knearest-neighbor-classifier,This repository contains the main.py file that performs different Classification algorithms on popular datasets like the Iris dataset, Breast Cancer dataset, and Wine dataset from UCI Machine Learning Repository and shows its results in a simple UI. Also, the visualization of the data is done using Matplotlib. The datasets are multidimensional, thus I have applied PCA first to reduce the dataset to two-dimension and then have plotted it.
User: lionelsamrat10
Home Page: https://deploy-app-st-sam.herokuapp.com/
knearest-neighbor-classifier,Who is a Liver Patient?
User: m0-k1
Home Page: https://www.kaggle.com/mohitkundu1/liver-patient-prediction
knearest-neighbor-classifier,Train SVM & KNN model for face recognition with the help of "The world's simplest facial recognition api for Python and the command line"
User: madeyoga
knearest-neighbor-classifier,Eigenfaces is an approach to facial recognition based on the overall appearance of a face, not on its particular details. By means of technique that can intercept and reshape the variance present in the image, the reshaped information is treated like the DNA of a face, thus allowing recovery of similar faces (because they have similar variances) in a host of facial images.
User: manaliagarwal
knearest-neighbor-classifier,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-neighbor-classifier,The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms
User: mstuefer
knearest-neighbor-classifier,K-NEAREST NEIGHBOR and HyperParameter Optimization using GridSearch.
User: ovishake
knearest-neighbor-classifier,An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
User: pragmaticpython
knearest-neighbor-classifier,This is just a theoretical Machine Learning Model that will analyze the data and determine where the stroke can occur.
User: psavarmattas
knearest-neighbor-classifier,Geo clustering of Taxi rank locations to find optimal locations for service centers to be setup
User: rajtulluri
knearest-neighbor-classifier,Detection (Prediction) of the possibility of a stroke in a person
User: rifqinvnd
knearest-neighbor-classifier,The aim of this paper is to review existing methods already available in the literature, and present a research into the use of smartphones for classification of unpaved roads utilizing the machine learning techniques including K-Nearest Neighbor (KNN) and Support Vector Machines (SVM).
User: rl16193
knearest-neighbor-classifier,This python project explains on how to implement a supervised machine learning algorithm on the famous iris dataset. The different classifiers used in this project includes decision tree and k-nearest neighbors. For a complete explanation of this project, check out my video on this topic.
User: roshancyriacmathew
knearest-neighbor-classifier,Predictive problems requires three main challenges to overcome. First, choosing the right classification algorithm. Second, building a robust building and testing environment for algorithm to learn and thirdly, picking the appropriate performance metric for evaluation. Here it is explained how these challenges can be addressed.
User: sakshibabbar2019
knearest-neighbor-classifier, Personalized Medicine: Redefining Cancer Treatment
User: sanky18
knearest-neighbor-classifier,This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.
User: saramille
knearest-neighbor-classifier,These Codes are written as part of Neural Networks and Deep learning course at UCLA.
User: saratbhargava
knearest-neighbor-classifier,Explore hands-on machine learning projects, resources, and collaborative opportunities in this GitHub repository.
User: shubham7476
knearest-neighbor-classifier,Deep learning based recommender system made up of CNN for feature extraction and k-nearest-neighbors for recommendation
User: shyamal-shah
knearest-neighbor-classifier,Predict a Pulsar Star using Stochastic Gradient Descent, K nearest neighbors, Support Vector Machine and Decision Tree classifiers.
User: simonefinelli
knearest-neighbor-classifier,A Supervised machine learning classifier using K Nearest Neighbour (KNN) and Logistic Regression.
User: smorga41
knearest-neighbor-classifier,Classification of images based on their orientation using Neural Networks, Adaboost and K-Nearest Neighbors
User: ssghule
knearest-neighbor-classifier,This is a classification of iris flower using k nearest neighbour classifier
User: sujaydas1999
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