unsupervised-learning

Four practical applications: 50% of the overall grade, all weigh equal (12.50% out of 100%). The mark in each has to be greater or equal to 4 (out of 10) to pass this compulsory part.

machine-learning weka supervised-learning unsupervised-learning bayesian-networks

Updated Jan 2, 2024
R

MrMaximumMax / FBCanalysis

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Package to develop and evaluate time series data models based on fluctuation based clustering and Earth Mover's Distances

phenotyping unsupervised-learning fluctuation-analysis time-series-clustering biomedical-data-science medical-data-management asthmatics medical-data-analysis endotyping

Updated Jun 22, 2022
R

LashaGoch / Clustering-with-K-means-in-R

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This project was done together with my colleague Noam Shmuel during the class of "Unsupervised Learning" @ University of Warsaw taught by professor Jacek Lewkowicz, PhD

unsupervised-learning clustering-algorithm k-means-clustering clustering-analysis k-means-r

Updated Sep 2, 2020
R

Lcesari96 / UnsupervisedTechinques

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Clustering algorithms, validations and interpretations with some robust statistic advanced topics. Real case applications. My R scripts to solve some university exams ;) - Work in progress

data-science data r clustering data-visualization feature-selection data-manipulation unsupervised-learning clustering-algorithm clustering-methods robust-statistics cluster-validation interpretations

Updated Apr 10, 2022
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portfolioRM / Chicago-Community-Areas

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An exploratory analysis of Chicago community areas.

unsupervised-learning cluster-analyser feature-importance

Updated Mar 26, 2024
R

LucaBarto / Heart-Diseases-classification

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This project has the aim to analyze the Heart Disease dataset to build a classifiers to predict whether people have heart disease or not.

machine-learning r neural-network random-forest supervised-learning unsupervised-learning principal-component-analysis gradient-boosting boosting classification-trees k-nearest-neighbors adaptive-boosting-algorithm

Updated Feb 24, 2022
R

thapaSujit / AI-IN-FINANCE

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Machine Learning in Finance

random-forest machine-learning-algorithms logistic-regression data-preprocessing predictive-modeling ridge-regression unsupervised-learning support-vector-machines gradient-boosting lasso-regression-model

Updated Mar 26, 2023
R

herdiantrisufriyana / clixo

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An implementation of the Clique-Extracted Ontology (CliXO) algorithm

unsupervised-learning hierarchical-clustering vnn data-driven-ontology visible-neural-network clixo

Updated Mar 6, 2021
R

reshma78611 / Recommendation-Engine-using-R

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Recommendation Engine using R

recommendation-engine unsupervised-learning r-programming

Updated Feb 10, 2021
R

MuhammadMarufSazed / Permutation_feature_selection_in_clustering

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Implemented a new feature selection algorithm for clustering as part of my master's research.

r clustering feature-selection unsupervised-learning new-algorithm

Updated Jan 7, 2021
R

Mathurkarishma / radar-signals-ionosphere

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Clustering helps to understand patterns and groups of similarities, and we will use this method to accomplish determining a good radar.

machine-learning clustering pattern-recognition unsupervised-learning kmeans-clustering grouping

Updated Jan 8, 2021
R

amotter443 / comap

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Using clustering and unsupervised learning to analyze sentiment of online product reviews

data-science machine-learning r clustering unsupervised-learning

Updated Jun 23, 2021
R

fikrianggara / machine-learning-algorithm-with-R

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Collection of machine learning algoritm written in R. covering various supervised and unsupervised machine learning algorithm. These codes are made as supplement of academic module in our data mining and knowledge management course.