Projects in Awesome Lists tagged with unsupervised-machine-learning
A curated list of projects in awesome lists tagged with unsupervised-machine-learning .
https://github.com/poacosta/esesa-notebooks-1er-trimestre
ESESA Notebooks - Primer Trimestre
bert-model convolutional-neural-networks deep-learning k-means-clustering machine-learning recurrent-neural-networks unsupervised-machine-learning
Last synced: 07 Apr 2025
https://github.com/virajbhutada/machine-learning-projects
A collection of machine learning mini-projects and analyses developed using Jupyter Notebook. Each project demonstrates practical applications of machine learning algorithms on a variety of datasets, covering techniques from exploratory data analysis (EDA) to model training and evaluation.
business-analytics clustering data-science decision-trees linear-regression machine-learning-algorithms ml-models prediction stock-price-prediction supervised-machine-learning unsupervised-machine-learning
Last synced: 10 Jan 2025
https://github.com/muskanpaliwal/machine-learning-implementations
Machine Learning
game-development machine-learning supervised-learning unsupervised-machine-learning
Last synced: 30 Mar 2025
https://github.com/msikorski93/wine-data-clustering
The goal of this notebook was to introduce and perform clustering algorithms on white wine dataset.
agglomerative-algorithm clustering k-means-clustering spectral-clustering unsupervised-machine-learning
Last synced: 26 Feb 2025
https://github.com/margaretkhendre/crypto-clustering-vs-unsupervised-machine-learning-challenge
In this repository, Google Colaboratory is paired with Unsupervised Machine Learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.
colab-notebook holoviews hvplot jupyter-notebook pandas pathlib python sklearn-library unsupervised-machine-learning
Last synced: 26 Feb 2025
https://github.com/ark2016/technopark-vk-ml-unsupervised
unsupervised ML task (branch ark)
bmstu jupyter-notebook ml technopark unsupervised-machine-learning vk
Last synced: 06 Mar 2025
https://github.com/vatshayan/research-papers-
Research papers as blue prints, drafts, pre prints and published papers
artificial-intelligence big-data blockchain blockchain-technology data-analysis data-mining data-science data-visualization deep-learning deep-neural-networks image-classification image-manipulation image-processing machine-learning machine-learning-algorithms machine-learning-library python supervised-learning unsupervised-machine-learning webdevelopment
Last synced: 04 Mar 2025
https://github.com/prahaladhchandrahasan/unsupervisedml_internship_tsf
K-Means clustering was performed on the iris Dateset. One of my submission for the TSF's GRIP internship, October 2020.
k-means-clustering matplotlib-pyplot numpy pandas python3 unsupervised-machine-learning
Last synced: 30 Mar 2025
https://github.com/snikumbh/archr
archR: Identifying promoter sequence architectures de novo using NMF
archr discovery nmf non-negative-matrix-factorization promoter-sequence-architectures r r-package scikit-learn sequence-architectures unsupervised-machine-learning
Last synced: 26 Feb 2025
https://github.com/kizman-23/unsupervised_models
underlining patterns and relationship between data
kmeans-clustering-algorithm unsupervised-clustering unsupervised-machine-learning
Last synced: 18 Feb 2025
https://github.com/virajbhutada/ml-projects
A collection of machine learning mini-projects and analyses developed using Jupyter Notebook. Each project demonstrates practical applications of machine learning algorithms on a variety of datasets, covering techniques from exploratory data analysis (EDA) to model training and evaluation.
business-analytics clustering data-science decision-trees linear-regression machine-learning-algorithms ml-models prediction stock-price-prediction supervised-machine-learning unsupervised-machine-learning
Last synced: 27 Feb 2025
https://github.com/zhiwu-zhang-lab/genetic_spectral_autoencoder
This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data
auto-encoder auto-encoders autoencoder autoencoders dimensionality-reduction genetics genomics gwas keras machine-learning machine-learning-algorithms nir nonlinear population-structure spectral-analysis spectral-clustering unsupervised unsupervised-clustering unsupervised-learning unsupervised-machine-learning
Last synced: 15 Mar 2025
https://github.com/singhxtushar/assignment-78
confusion-matrix contingency-table unsupervised-machine-learning
Last synced: 19 Feb 2025
https://github.com/acejolanda/mood-playlist-clustering
Using K-Means clustering to automatically generate mood-based playlists from Spotify audio features (project done at WBS coding school)
kmeans-clustering unsupervised-machine-learning
Last synced: 10 Jun 2025
https://github.com/shourya1997/boston_housing
In this project, you will apply basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.
boston-housing-dataset data-analysis jupyter-notebook machine-learning python unsupervised-machine-learning
Last synced: 27 Feb 2025
https://github.com/analyticalnahid/unsupervised-machine-learning
Most popular unsupervised Machine Learning algorithms from scratch with implementation using Scikit-learn & others library
machine-learning-algorithms machinelearning-python unsupervised-clustering unsupervised-feature-learning unsupervised-learning unsupervised-learning-algorithms unsupervised-machine-learning
Last synced: 28 Mar 2025
https://github.com/thinkphp/k-means-clustering
Discover the power of K-Means Clustering Unsupervised Machine Learning and how it can help uncover hidden patterns in your data. With this interactive tool, you can visualize how data points are grouped based on their similarities.
ai algorithms k-means-clustering machine-learning next nextjs react tailwind unsupervised-machine-learning
Last synced: 25 Mar 2025
https://github.com/manik2000/unsupervised-ml-image-compression
Web application enabling compression of images using unsupervised machine learning algorithm.
clustering docker pca python streamlit-application unsupervised-machine-learning
Last synced: 25 Mar 2025
https://github.com/lingumd/cryptocurrencies
Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.
concatenate elbow-curves get-dummies hvplot jupyterlab kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning
Last synced: 16 Mar 2025
https://github.com/kwokhing/udacity-bertelsmann-intro-to-ml-with-tensorflow
Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow
deep-learning gridsearchcv k-means-clustering machine-learning pca-analysis pickle random-forest sklearn supervised-machine-learning tensorflow unsupervised-machine-learning
Last synced: 25 Mar 2025
https://github.com/theo-liang/python-and-tableau-project-gun-violence-in-america
This project analyzes gun violence incidents in America to identify trends related to location, time, gun types, and demographic factors.
exploratory-data-analysis geospatial-analysis heatmaps jupyter-notebook k-means-clustering linear-regression principal-component-analysis python scatterplot supervised-machine-learning tableau-dashboards time-series-analysis unsupervised-machine-learning
Last synced: 25 Mar 2025
https://github.com/justdvnsh/machine-learning-with-python
A collection of machine learning models with python.
data-science decision-tree-algorithm ensemble-learning kmeans-clustering-algorithm knn-algorithm machine-learning random-forest regression-algorithms supervised-learning unsupervised-machine-learning
Last synced: 01 Apr 2025
https://github.com/noar689/carbon-footprint-reduction
ML | recommendation system | low carbon products
ecofriendly ml recommender-system unsupervised-learning unsupervised-machine-learning
Last synced: 01 Apr 2025
https://github.com/muhammadadilnaeem/customer-segmentation-unsupervised-learning
This project explores customer segmentation using various clustering techniques on a dataset of mall customers. The goal is to identify distinct customer groups based on demographic and behavioral attributes, enabling businesses to tailor their marketing strategies more effectively.
customer-segmentation dbscan-clustering-algorithm hirarchical-clustering kmeans-clustering unsupervised-machine-learning
Last synced: 10 Mar 2025
https://github.com/bce99/clustertrade
📈An unsupervised ML algo trading strategy using K-means clustering and EfficientFrontier max sharpe ratio optimization
algorithmic-trading efficientfrontier k-means-clustering unsupervised-machine-learning
Last synced: 26 Feb 2025
https://github.com/udacity-machinelearning-internship/identify_customer_segments
Final project on Udacity's "Intro to Machine Learning with TensorFlow" program.
clustering machine-learning tensorflow unsupervised-learning unsupervised-machine-learning
Last synced: 12 Jun 2025
https://github.com/ziraddingulumjanly/unsupervised-learning-implementation-on-heartattackdataset
This study aims to identify distinct subgroups within a dataset of patients with heart attack-related features using unsupervised learning techniques: k-means and Hierarchical
dataset heartattack kaggle kmeans-algorithm kmeans-clustering pca-analysis tsne-algorithm unsupervised-machine-learning
Last synced: 31 Mar 2025
https://github.com/abhi227070/customer-segmentation-using-kmeans
Utilizing KMeans clustering, this project segments customers for targeted marketing and analysis. Developed on Google Colab, it imports datasets from Kaggle, performs data analysis, preprocessing, and model building, providing actionable insights for businesses.
clustering kmeans-clustering machine-learning machine-learning-algorithms machinelearning python3 unsupervised-clustering unsupervised-learning unsupervised-machine-learning
Last synced: 20 Feb 2025
https://github.com/harmanveer-2546/student-performance-in-exam
Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.
classification-report cluster dbscan dimensionality-reduction k-means-clustering labelling linear-regression logistic-regression numpy pandas pre-processing random-forest-classifier test-train-split unsupervised-machine-learning visualization
Last synced: 28 Feb 2025
https://github.com/iiakshat/movie-recommender-system
A content-based recommender system that recommends movies similar to the movie that you click on, can be used for suggesting same user similar type of content.
clustering movie-recommendation movies recommendation-engine recommender-system unsupervised-machine-learning
Last synced: 13 Jun 2025
https://github.com/anhvu2201/churn_users_prediction_using_supervised_and_unsupervised_ml
Develop and train an supervised machine learning model to identify potential churn users. Additionally, segment these users into distinct groups using an unsupervised machine learning model to enable tailored marketing strategies.
clustering-analysis supervised-machine-learning unsupervised-machine-learning
Last synced: 01 Mar 2025
https://github.com/birmingham-and-solihull-ics/unsupervised-clustering-practices
K-means and hierarchical clustering of GP practices based on QOF performance measures
hierachical-clustering k-means-clustering python qof unsupervised-machine-learning
Last synced: 16 Jun 2025
https://github.com/nickenshidqia/country_clustering_using_kmeans_unsupervised_learning
Build a machine learning model that can clustering country based on their regional & language
data-science kmeans-clustering machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 10 Apr 2025
https://github.com/tanyakuznetsova/multidimensional-scaling-of-european_cities
This project explores the spatial relationships between twenty European cities using classical manual Multidimensional Scaling (MDS), MDS from scikit-learn, and compares the results with Principal Component Analysis (PCA).
classical-ml-algorithms dimensionality-reduction dimensionality-reduction-technique mds multidimensional-scaling pca principal-component-analysis unsupervised-learning unsupervised-machine-learning
Last synced: 11 Mar 2025
