Let's get those centroids!
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Updated
Sep 27, 2023 - C++
Let's get those centroids!
Classifier using supervised machine learning algorithm which can accurately predict whether or not the patients in the dataset have diabetes.
Machine Learning Model for Disease Prediction based on Symptoms given by the user. The model will predict the disease using four different algorithms by taking minimum 2 and maximum 5 symptoms as input.
Building K-Nearest-Neighbor classifier model using Spotify dataset to predict song preference of a given hypothetical person.
Diabetics Prediction using machine learning and Tableau
A simple python script that implements K Nearest Neighbors Algorithm. University Assignment
This project aims to predict the income bracket of individuals based on a variety of features, and presents a holistic comparative analysis between multiple machine learning algorithms through hyperparameter optimization on a binary classification problem.
5001-Spring 2022 Group Project
This project was made as a final exam report for a Data Mining course at Universitas Indonesia.
Predict the services used by telecom customers based on their demographic data with K-Nearest Neighbors algorithm. The dataset is present in this repo.
Built an image classification machine learning model using KNN.
Classificadores vizinho mais próximo, k-vizinhos mais próximos e centroíde programados em Haskell para primeiro e segundo o trabalho computacional de Programação Funcional.
An implementation of the **k-Nearest Neighbours Classification Algorithm** using some popular demo datasets.
Classification of movie rankings
Machine learning algorithm - building a model using KNN
4 machine learning models applied to 2 seperate binary classification problems each. These models include decision trees, neural networks, random forest bagging, and k-nearest neighbor.
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