unsupervised-learning

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Here are 108 public repositories matching this topic...

vettorefburana / Clustering-Algorithms

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A comparison of centroid-based, density-based and hierarchical clustering algorithms

docker clustering kmeans unsupervised-learning hierarchical-clustering kmedoids gaussian-mixtures

Updated Dec 19, 2021
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tahirkorma / unsupervised-learning-atmospheric-gas-analysis

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Unsupervised learning project on atmospheric gas data using PCA and K-Means clustering

clustering pca-analysis unsupervised-learning principal-component-analysis

Updated Aug 4, 2025
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lambdaBoost / leaked-password-analysis

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analysing patterns in a leaked dataset of passwords with unsupervised market basket-type analysis

unsupervised-learning apriori-algorithm

Updated Dec 21, 2017
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emanuelemorales / Statisical-Learning-Diabetes-Prediction

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Supervised and Unsupervised statistical learning techniques applied on Pima Indians Diabetes Dataset

clustering statistical-learning supervised-learning pca logistic-regression unsupervised-learning regression-models classification-model

Updated Oct 7, 2020
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prakash2903 / ConsumerSegmentation

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Kmeans Clustering

machine-learning consumer unsupervised-learning kmeans-clustering

Updated Aug 13, 2023
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jmdu99 / Machine-Learning-Practical-Applications

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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
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cheng-xin-eng / Diabetes-Prediction-Model

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Individual Academic project for DSA1101: Introduction to Data Science

data-science machine-learning r data-visualization supervised-learning data-analysis unsupervised-learning

Updated Jul 30, 2025
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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
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reshma78611 / Recommendation-Engine-using-R

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Recommendation Engine using R

recommendation-engine unsupervised-learning r-programming

Updated Feb 10, 2021
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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.

data-science machine-learning data-mining r deep-neural-networks neural-network random-forest svm naive-bayes machine-learning-algorithms supervised-learning data-analysis decision-trees unsupervised-learning association-rules hierarchical-clustering k-means-clustering

Updated Mar 4, 2024
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marcv12 / Churn_DataScience

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Fun fact: It is more valuable to hold on to an existing customer than to acquire new ones. Source: Trust me

machine-learning deep-learning neural-network clustering machine-learning-algorithms regression statistical-analysis classification unsupervised-learning churn-prediction churn-analytics interpretable-machine-learning

Updated Jul 26, 2023
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YogiOnBioinformatics / Principles-of-Data-Science

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Work done for University of Pittsburgh course "Principles of Data Science" (STAT 1261) with Dr. Junshu Bao in Fall semester of 2018.

Updated Jan 12, 2019
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LucaBarto / heart_failure

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This project aims to analyze the heart failure dataset to build a classifier that identifies the most important factors and allows predicting death from heart failure.

random-forest supervised-learning classification support-vector-machine unsupervised-learning principal-component-analysis k-nearest-neighbours boosting shapiro-wilk adaptive-boosting-algorithm stochastic-gradient classification-regression

Updated Jul 14, 2022
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AbdullahKhurshid / ecommerce-marketing-analytics

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Using Apache Spark for marketing analytics

r apache-spark supervised-learning cloud-computing unsupervised-learning big-data-analytics marketing-analytics

Updated Jan 30, 2025
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Silvestre17 / UnsupervisedLearningR_PISA.Project

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🎓 An unsupervised learning project analyzing PISA 2018 data for Finland. Uses PCA and K-Means in R to identify and profile distinct student clusters. Developed for the ULM course at ISCTE.

r statistics clustering pca-analysis data-analysis k-means unsupervised-learning pisa