Saravanan9698/Saravanan.Github.io

Welcome to my Data Science Portfolio! I'm Saravanan — an IITM Pravartak Certified Data Science Professional with practical experience building end-to-end ML and Deep Learning solutions across healthcare, finance, e-commerce along with NLP and GEN AI Domains. This portfolio highlights my work on real-world data-driven projects.

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wikistat/MLTraining

Machine Learning Training for Data Science and AI ... Bootcamp in progress

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sboni2/DS_Project

Data Science Project From BITS PILANI Internship

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Ahsan-7800/Customer-Segmentation-using-K-Means-Clustering

Segment customers effectively using K-Means Clustering in this interactive Streamlit app. Analyze behavior and tailor marketing strategies. 🌟🚀

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Dicoding-Addin/BMLP-ADDIN

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mpadge/spatialcluster

spatially-constrained clustering in R

Language: C++ - Size: 12.9 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 31 - Forks: 6

CodeKnight314/Image-clustering

Image Clustering with KMean Clustering and ResNet feature extraction

Language: Python - Size: 170 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

rom1mouret/catclustering

Rust crate for clustering categorical data

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aryashah2k/Datalogy-Customer-Segmentation-Data-Science-Internship

A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.

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devxdebanjan/KMeans

clustering of night time satellite images and depicting them by use of different colors

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deepikasingh007/Sustainable-Banking-dashboard

Performed carbon footprint analysis using machine learning

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nurulashraf/hierarchical-clustering-customer-segmentation

A customer segmentation project using hierarchical clustering to group customers based on their spending behaviour and demographics. This helps businesses identify patterns and create targeted marketing strategies.

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jaisweta-naarrayanan/Energy-Efficient-Routing-Protocol-for-Wireless-Sensor-Networks

Energy Efficient Sleep-Scheduled and Tree-Based Clustering Routing Protocol in Wireless Sensor Networks (WSNs)

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howardyclo/kmeans-dbscan-tutorial

A clustering tutorial with scikit-learn for beginners.

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volfpeter/localclustering

Python 3 implementation and documentation of the Hermina-Janos local graph clustering algorithm.

Language: Python - Size: 2.48 MB - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 23 - Forks: 1

eren-ck/finch

A Python implementation of "FINCH Clustering Algorithm (CVPR 2019)"

Language: Python - Size: 460 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 9 - Forks: 2

FilipDominec/SEM_image_postprocessing

Utilities for Philips XL30 Scanning Electron Microscope: annotation, overlay and auto-coloring of images aimed at producing both esthetic and scientifically valuable output

Language: Python - Size: 2.35 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

KlimentLagrangiewicz/k-means-in-C

Implementation of k-means algorithm in C (standard C89/C90)

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priyam-hub/XAI-SOMs

XAI-SOMs is a modular and interpretable healthcare analytics framework using Self-Organizing Maps (SOMs) combined with Explainable AI techniques. It enables medical professionals and researchers to discover clinically coherent clusters, derive individual patient explanations, and validate the outputs using domain-driven constraints

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kiranvad/Amplitude-Phase-Distance

A light-weight repository to compute Amplitude Phase distance between two functions

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zeynepcindemir/California-Housing-Data-Mining-Project

This project is developed as part of the Data Mining course. It covers detailed EDA and comparative analysis of various data clustering algorithms on the California Housing 1990 Census dataset to evaluate performance and efficiency.

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MuhammadIqbal118140130/TugasBesar_ML_2025

Machine Learning Project

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freesinger/density_peak_clustering 📦

An optimized clustering framework for 'Clustering by fast search and find of density peaks' in Science 2014.

Language: Python - Size: 13.8 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 11

heitornolla/Analysis-of-Voter-Abstention-through-Clustering

Analysis of voter abstention on brazilian elections

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susieM123/KMeans_Clustering

Python implementation of the K-Means clustering algorithm for unsupervised learning, using NumPy and Pandas to efficiently group data points into clusters.

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shubhro2002/Comparing-Clustering-Algorithms-by-Customer-Segmentation

This project applies unsupervised machine learning techniques to perform customer segmentation on a marketing dataset. It uses the BIRCH, K-Means and DBSCAN clustering algorithms to group customers based on their demographic and behavioral features, with a focus on interpretability, performance, and scalability.

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ddaskan/trendypy

Python package for sequence (e.g. trend line, sentence, image) clustering

Language: Python - Size: 2.59 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 37 - Forks: 2

e-XpertSolutions/go-cluster

k-modes and k-prototypes clustering algorithms implementation in Go

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SahilBarbade1203/Druggability_Research_Analysis

RnD project Collaboration

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tanuja-pathak/Mall-customer-Segmentation-PRODIGY_ML_02

An Unsupervised Machine learning project of mall customer segmentation

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Angelo1211/HybridRenderingEngine

Clustered Forward/Deferred renderer with Physically Based Shading, Image Based Lighting and a whole lot of OpenGL.

Language: C++ - Size: 420 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 1,440 - Forks: 128

saeid436/HMRF-EM-image

Hidden Markov Random Field Model and its Expectation-Maximization

Language: Python - Size: 340 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 1

LatiefDataVisionary/machine-learning-basic-dicoding

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pnavaro/ClusteringToMATo.jl Fork of twMisc/Clustering-ToMaTo

Clustering with ToMATo algorithm

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John-sam1983/John_Ndaa_Samson_Data_Science_Portfolio

This repository is a compilation of all the data science and in particular Machine Learning projects I have successfully carried out.

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open-sciml/mpkmeans

Experimental code for simulating mixed-precision k-means

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Dharmeshgadhiya161/Netflix-Movies-and-TV-Shows-Clustering-Unsupervised-ML

Netflix Movies and TV Shows Clustering Unsupervised ML

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Cyberoctane29/Optimizing-K-in-K-means-A-Visual-and-Quantitative-Exploration

Exploring K-means clustering through image color compression and high-dimensional data analysis. Learn how pixel grouping in RGB space builds intuition, while inertia/silhouette scores optimize clusters. Demonstrates K-means' power to reveal patterns in both visual and abstract data by optimizing groupings and selecting ideal k-values.

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billsioros/cmeans

A version of the K-Means Algorithm targeting the Capacitated Clustering Problem

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suxrobGM/aoe4-matchmaking

Improved matchmaking system for Age of Empires 4 using machine learning techniques

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shilpamusale/predict_readmit_ml

Predict 30-day emergency department readmission using EMR + SDoH data and CHW intervention insights. Includes clustering for patient profiling.

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axelfahy/NetworkAnomalyDetection

Anomaly Detection in Network Traffic using different clustering algorithm.

Language: Scala - Size: 302 KB - Last synced at: 6 months ago - Pushed at: over 8 years ago - Stars: 17 - Forks: 5

supreethmv/LEO-satellites-coalition

Optimal coalition formation among Low Earth Orbit (LEO) satellites via GCS-Q algorithm.

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pajaskowiak/clusterConfusion

Clustering validation with ROC Curves

Language: R - Size: 1.2 MB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 7 - Forks: 1

jpgiant/land-classification-using-kmeans

Application of KMeans algorithm on a satellite image and identifying its feasibility in land use classification

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ayrat555/rock

Elixir implementation of ROCK: A Robust Clustering Algorithm for Categorical Attributes

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Assem-ElQersh/Ishihara-Kmeans

A Python tool for extracting hidden numbers from Ishihara color blindness test images using a custom K-means clustering algorithm. Supports multiple color spaces (RGB, HSV, Lab, YCrCb) and includes visualization, CLI tools, and parameter optimization for enhanced accuracy.

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tmatthey/tmath

Math library for GPS and Geometry calculations

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aki-au/artutils

Image-to-art tools: palettes, gradients, opposites - in Python

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napsu/bigClust

Stochastic nonsmooth optimization based clustering algorithm

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lv416e/archetypax

ArchetypAX: Hardware-accelerated Archetypal Analysis implementation using JAX

Language: Python - Size: 520 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

mukund14/e-commerce

Analyzing E-commerce transactions from a UK based retailer using the UCI Machine Learning Repository to group customers with similar buying patterns together using K-means clustering

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Leox2f/credit_card_customer_segmentation

Customer segmentation analysis on credit card users to identify distinct customer groups based on their behavior and characteristics. The analysis uses unsupervised machine learning techniques, specifically K-means clustering, to group customers into meaningful segments.

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uef-machine-learning/tspgclu

Fast but accurate approximation of Ward's agglomerative clustering using a fully connected TSP graph

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masoudshahrian/DataScience

AI Machine learning Deep learning Projects with code

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salar96/MEP-Orthogonal-NMF

Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)

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thuva4/Algorithms

Collection of algorithms in multiple programming languages.

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Marlyn-Mayienga/ML_INSIGHTS_INTO_DJIA_WINE_DATA

Exploring DJIA stock market patterns and predicting red wine quality using PCA, hierarchical clustering, and Random Forest algorithms.

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alvinadar/Hierarchical-Clustering

Agglomerative HC step by step concept

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hkala042/Data-Science-Projects

This repository contains HTML exports of data science projects focused on data cleaning, EDA, linear regression, clustering, and recommendation systems. Built using Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn to develop data processing and analysis skills.

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Behrouz-Babaki/COP-Kmeans

A Python implementation of COP-KMEANS algorithm

Language: Python - Size: 234 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 168 - Forks: 46

MyriamBA/Smart-Grid-Data-Analysis-Clustering

Exploratory Data Analysis of Smartmeter Data , Visualization, and Consumer Clustering for London Households.

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davimoljo/Kmeans Fork of RyanPAlvim/Kmeans

Trabalho realizado com o objetivo de implementação do algoritmo de agrupamento K-Means em C++, utilizando apenas bibliotecas padrão, mais detalhes no README. Work carried out with the goal of implementing the K-Means clustering algorithm in C++, using only standard libraries. More details can be found in the README.

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temulenbd/tb-unsupervised-learning

This is for my personal reference, where I compile codes and exercises that could be useful later on.

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mariaderrico/DPA

The DPA package is the scikit-learn compatible implementation of the Density Peaks Advanced clustering algorithm. The algorithm provides robust and visual information about the clusters, their statistical reliability and their hierarchical organization.

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orrorcol/soinn

SOINN / 聚类 / 无监督聚类 / 快速 / clustering / unsupervised clustering / fast

Language: C++ - Size: 1.05 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 1

napsu/DRSmeans

Distributed Random Swap for for Minimum Sum-of-Squares Clustering

Language: Python - Size: 34.2 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

william-h-oliver/fuzzycat

A generalised soft-clustering algorithm for propagating difficult-to-quantify effects into fuzzy clusters.

Language: Python - Size: 1.35 GB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 1

Nandite/Pcl-Optics

C++ Implementation of the OPTICS algorithm compatible with the Point Cloud Library.

Language: C++ - Size: 4.31 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 15 - Forks: 4

Yeisson8A/TextClassificationSentimentsPython

Proyecto desarrollado en Python, utilizando un modelo para clasificar texto a nivel de emociones, y posteriormente una agrupación de estas clasificaciones en clústeres mediante K-Means, así como diferentes gráficos dinámicos tanto en 2D como 3D para el análisis de la información

Language: Python - Size: 3.91 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

kimtth/categorical-data-clustering

🫧clustering for categorical data analysis. (precomputed pairwise matrix, DBSCAN, t-SNE)

Language: Python - Size: 28.3 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

bajor/categorical-cluster

My algo and library for clustering categorical data

Language: Python - Size: 863 KB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Cyberoctane29/Penguins-Data-Analysis-and-Modeling

This project applies statistical modeling, including single and multiple linear regression, using Python. It covers exploratory data analysis, data cleaning, and modeling with pandas, NumPy, statsmodels, and scikit-learn. Regression analyzes relationships, while clustering identifies patterns. Seaborn visualizations enhance interpretability.

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neurodata/knorR

R bindings for knor

Language: R - Size: 470 KB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 3

IBM/ibm-developer-watsonx

Storing code used in Generative AI Developer Guides on the IBM Developer Website

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Kermalis/HybridRenderingEngine-CS

Clustered Forward/Deferred renderer with Physically Based Shading, Image Based Lighting and a whole lot of OpenGL.

Language: C# - Size: 102 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 4

mujjii20/Page-Ranking-Sparse-Matrices-Visuaization

Objective: Create and visualize a sparse matrix representation of a graph. Implement the PageRank algorithm on a large web graph dataset and analyze results with different damping factors and personalization. Compare different clustering algorithms on a dataset.

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caiquemiranda/machine-learning-algorithms-python

machine-learning-algorithms

Language: Python - Size: 2.93 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

abhinavnatarajan/RedClust.jl

Julia package to perform Bayesian clustering of high-dimensional Euclidean data using pairwise dissimilarity information.

Language: Julia - Size: 10.9 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

im-vishalverma/MDMF-Model-Toolbox

Language: Python - Size: 2.88 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

flexycode/BIOF-101

💫 BIOINFORMATICS for Drug Development

Size: 11.7 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

YevgeniyEngineer/LiDAR-Processing-V2

LiDAR processing ROS2. Segmentation: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering: "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance".

Language: C++ - Size: 243 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 26 - Forks: 1

cmtt/kmpp

k-means clustering algorithm with k-means++ initialization.

Language: JavaScript - Size: 1.2 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 32 - Forks: 9

ashwinmalekar/amazon-recommendation-engine-using-k-means

Language: Jupyter Notebook - Size: 9.17 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

pngo1997/New-York-City-Airbnb-Recommender-System

Collaborative project of Content-based recommender system development of NYC Airbnb.

Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

McGill-MMA-EnterpriseAnalytics/PAWsitive-Tails-Shaping-Brighter-Futures-for-Shelter-Pets

This project is a comprehensive data science initiative focused on improving the lives of animals in shelters. We aim to leverage advanced analytical methods to predict shelter animal outcomes and optimize resource allocation.

Language: Jupyter Notebook - Size: 57.4 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 2

Vishal-sys-code/machine-learning-complete-guide

The Complete Machine Learning Repository

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weizhongli/cdhit

Automatically exported from code.google.com/p/cdhit

Language: Perl - Size: 3.09 MB - Last synced at: 9 months ago - Pushed at: about 3 years ago - Stars: 655 - Forks: 130

flyingdoog/NDCC

A Collective Approach to Scholar Name Disambiguation

Language: C++ - Size: 40 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

anushkundu/Student-Performance-Analysis

Exploring Student Performance Factors

Language: Jupyter Notebook - Size: 771 KB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Fonzy0508/Clustering-Distribution-Visualization-learning

Visualizing clustering distributions on the Digits dataset using UMAP, PCA, t-SNE, and algorithms like K-Means, DBSCAN, and Hierarchical Clustering.

Language: Jupyter Notebook - Size: 4.33 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Evintkoo/Functional-Group-Analysis

Analysis of bond characteristic in high drug-likeness score compound

Language: Jupyter Notebook - Size: 172 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

neelimabonangi/ecommerce-Transactions-Dataset

ecommerce-Transactions-Dataset using Python, Pandas, NumPy,Scikit-learn,Power BI, Matplotlib, Seaborn,Machine Learning algorithms like K-Means clustering,Classification models like Logistic Regression, Random Forest

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: 26 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

hediyeorhan/BirchClusteringAlgorithm

Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: 8 months ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 1

otakmager/projectML-ClusteringWeb

This repo is the result of a project assignment for a machine learning course at my university which was assisted by other group members. This project is to create a website that can cluster from the models that have been made. This model was created using the KMeans algorithm with 3 clusters that were trained with the seed dataset

Language: Python - Size: 20.4 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

aliciagilmatute/Machine-Learning--unsupervised-

Proyectos de Aprendizaje Automático No Supervisado

Language: Jupyter Notebook - Size: 2.37 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Ansh2709/Customer-Segmentation-ML-Project

Project segregates the customers on the basis of their spending score and annual income using K-Means Clustering that is a part of unsupervised learning

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mituskillologies/cdac-ai-drdo-jan25

Programs of certificate course on Artificial Intelligence and Machine Learning conducted for DRDO officials at CDAC Headquarters, Pune in January 2025.

Language: Jupyter Notebook - Size: 27.6 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Vidhi1290/Malware-Detection

Welcome to the Malicious Executable Detection project! This repository explores the world of machine learning and clustering analysis to detect malicious executable files 🔥🔐

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

psycoplankton/Fuzzy-Representation-Learning

A Fuzzy Pre-procressing layer which can be used with embeddings to enrich the information content.

Language: Jupyter Notebook - Size: 18.2 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0