GitHub topics: unsupervised-machine-learning

Repositories

munas-git/hotel_booking_price_elasticity_modeling_and_customer_segmentation

Modeling hotel booking demand and segmenting guests using price elasticity analysis, statistical modeling, and behavioral clustering to inform targeting and STP strategies.

Language: Jupyter Notebook - Size: 9.05 MB - Last synced at: about 9 hours ago - Pushed at: about 10 hours ago - Stars: 0 - Forks: 0

philiptitus/HEX-

This project uses K-Means clustering and Google Gemini AI to analyze and categorize M-PESA transaction data, delivering automated spending pattern discovery, interactive insights, and personalized financial recommendations.

Language: Python - Size: 112 KB - Last synced at: about 12 hours ago - Pushed at: about 13 hours ago - Stars: 0 - Forks: 0

KristinaP09/G-CoMVKM-Python

Python implementation for A Globally Collaborative Multi-View k-Means Clustering

Language: Python - Size: 43 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

daniau23/customer_segment

Segmentation of customers using Agglomerative clustering and analysis using PowerBI

Language: Jupyter Notebook - Size: 3.76 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

udaycodespace/Unsupervised-Anime-Recommendation-System

A content-based anime recommendation system ⚡using unsupervised learning (K-Means). Suggests similar anime using synopsis & genre—no user history needed. Built during Edunet AI + Azure Internship.

Language: Jupyter Notebook - Size: 6.71 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

Liang-Team/Sequenzo

A fast, scalable, and intuitive Python package in social sequence analysis.

Language: Jupyter Notebook - Size: 76.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 6 - Forks: 2

SmartTensors/NMFk.jl

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Language: HTML - Size: 84.6 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 15 - Forks: 1

CrispenGari/ml-2023

💹📉📊📈This repository contains some machine leaning task that I did from the year 2023.

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

GGasset/CudaNeatNetwork

Easy to use, Neural Network framework made from scratch in CUDA/C++, featuring LSTMs, able to train using Supervised learning and Evolution methods

Language: Cuda - Size: 736 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

amirabaskanov/valorant-team-optimizer

Clustering Player Archetypes to Optimize Team Composition in Valorant Esports

Language: Python - Size: 1.65 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

andreasMazur/variational_autoencoder

A light TensorFlow meta-class for variational autoencoder.

Language: Python - Size: 26.4 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

jiaxiaogang/HE

螺旋熵减系统

Language: Objective-C - Size: 225 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 326 - Forks: 49

jiaxiaogang/HELIX_THEORY

螺旋熵减理论

Language: Objective-C - Size: 90.2 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 137 - Forks: 35

nipunchauhan/Topic-Modeling-NLP-Python-Knime

This project compares topic modeling and text clustering techniques on BBC news articles. We use both KNIME and Python-based approaches to assess model quality and coherence in unsupervised text analysis.

Language: Jupyter Notebook - Size: 5.43 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Sravyatogarla/Edureka-Data-Science-DIY

A complete collection of hands-on DIY projects from the Edureka Data Science 🔍📊Master Program, covering Python, Statistics, Machine Learning (Supervised & Unsupervised), NLP, Deep Learning (including Reinforcement Learning), Model Evaluation, and Tableau – organized by day and topic for structured learning.100 Days of Edureka Data Science DIY's

Language: Jupyter Notebook - Size: 922 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Agoons20/Text_Mining_in_R

The projects here demonstrate how a textual corpus is prepared for analysis, preprocessing steps for computational text mining and extraction of business insights. Concepts such as feature representation using bag of words and TF-IDF are demonstrated, clustering and supervised machine learning algorithms like regression and others are used on a DTM

Size: 69.3 KB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

sozelfist/handson-ml3 Fork of ageron/handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language: Jupyter Notebook - Size: 35.6 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

philiptitus/Mall-Customers

K-means Model to categorize Mall customers into different clusters based on their spending habits

Language: Jupyter Notebook - Size: 142 KB - Last synced at: 2 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

shaysingh818/dendritic

Iterative optimization library

Language: Rust - Size: 28.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 3 - Forks: 0

danial-hosseinpour/Machine-Learning-Projects

This repository showcases a collection of machine learning projects that I have worked on, applying various algorithms and techniques to solve real-world problems.

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

SKT1803/iris-unsupervised-clustering

Unsupervised Machine Learning – Clustering on the Iris Dataset

Language: Jupyter Notebook - Size: 426 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

yaricom/goESHyperNEAT

The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.

Language: Go - Size: 1.39 MB - Last synced at: 8 days ago - Pushed at: 15 days ago - Stars: 17 - Forks: 2

loudrxiv/frustrating

A new approach for cross-species prediction of transcription factor binding sites!

Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

jshah0000/Professional-Work

Data Analysis Projects

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

tstran155/Cluster-analysis-of-pressure-decline-during-solute-transport-in-bulk-liquid

In this notebook, I used unsupervised machine learning algorithms (K-Means and K-Plane) to cluster times series data.

Language: Jupyter Notebook - Size: 15.1 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

ua-datalab/MLWorkshops

UArizona DataLab Workshops

Language: Jupyter Notebook - Size: 85.3 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 7 - Forks: 0

doxakis/HdbscanSharp

HDBSCAN in C#

Language: C# - Size: 2.52 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 39 - Forks: 4

crimslack/economic_profile_clustering

A density- based analysis of global development levels through economic data clustering

Language: Python - Size: 23.4 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

greyhatguy007/Machine-Learning-Specialization-Coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Language: Jupyter Notebook - Size: 38.1 MB - Last synced at: 22 days ago - Pushed at: 9 months ago - Stars: 5,196 - Forks: 3,020

kevinqnb/interpretable-clustering

Methods and algorithms for interpretable clustering. Example applications to climate data.

Language: Python - Size: 208 MB - Last synced at: 7 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

adobe/stringlifier

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Language: Python - Size: 7.35 MB - Last synced at: 15 days ago - Pushed at: 22 days ago - Stars: 167 - Forks: 28

Sravyatogarla/Unsupervised_ML_Project_Zoo_Dataset

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 8.24 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

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

Netflix Movies and TV Shows Clustering Unsupervised ML

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

SmartTensors/GeoThermalCloud.jl

Geothermal Cloud for Machine Learning

Language: Jupyter Notebook - Size: 732 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 4

Rahul-404/customer-segmentation

This project applies machine learning techniques to segment customers from a marketing campaign dataset. It uses demographic and behavioral data to uncover distinct customer groups, enabling more personalized marketing strategies and improved campaign targeting.

Language: Jupyter Notebook - Size: 249 KB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

zahra-ahmadbeigloo/Machine-Learning-Projects

This repository contains machine learning projects, where models are trained for classification, regression, clustering, and deep learning tasks. Each project includes data preprocessing, feature engineering, model training, evaluation, and visualizations to support findings.

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

SalomonisLab/altanalyze3

AltAnalyze version 3 is a Python3 library to integrate and compare diverse RNA isoform datasets.

Language: Python - Size: 14 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 6 - Forks: 3

dona-eric/Machine-Learning-with-Python-IBM-Laboratory

C'est une ressource importante pour tout les passionnées de la data science et du machine learning. J'ai collecté les ressources disponibles, les données et les notebooks de démarrage des cours proposés par IBM sur Coursera. Cette ressource vous permettra d'avoir un coup d'avance , de vous pratiquer et de passer votre certification

Language: Jupyter Notebook - Size: 29.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

dimitris-markopoulos/latent-semantic-clustering

Clustering book chapters with unsupervised ML—custom EM-GMM, sklearn baselines, and dimensionality reduction.

Language: Jupyter Notebook - Size: 87.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

AR-Version2/Intelligent-SAP-Financial-Integrity-Monitor

Intelligent SAP Financial Integrity Monitor (POC): Hybrid AI/ML (IF, LOF, AE) & rules-based anomaly detection on SAP FAGLFLEXA data using Python/Streamlit

Language: Python - Size: 4.05 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

theainerd/MLInterview

:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

Size: 6.96 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 525 - Forks: 169

slalit360/Data-Science-ML-Cheat-Sheet-Books-Oreilly-

Data Science + ML Cheat Sheet collection by me

Language: Jupyter Notebook - Size: 208 MB - Last synced at: 29 days ago - Pushed at: about 2 years ago - Stars: 78 - Forks: 48

subhashsomarouthu/Netflix-Movies-and-TV-Shows-Clustering

Clustering similar content by matching text-based features and building a recommendation system

Language: Jupyter Notebook - Size: 19.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

acejolanda/mood-playlist-clustering

Using K-Means clustering to automatically generate mood-based playlists from Spotify audio features (project done at WBS coding school)

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

albanecoiffe/telecom-recommender-system

This project implements a recommender system for telecom products and services, designed to suggest the most relevant offers to customers based on their behavior, usage patterns, and churn history.

Language: Jupyter Notebook - Size: 119 KB - Last synced at: 2 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

PhenomSG/ml-notebook

This project is designed for personal learning and exploration of fundamental machine learning concepts.

Language: Jupyter Notebook - Size: 39.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

be-nny/music-genre-analysis-tool

This research proposes the use of unsupervised machine learning methods to partially get rid of the reliance for predetermined labels and instead let the clustering define the genres and like songs.

Language: Python - Size: 15.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

kvitK1/ML-Driven-Clustering-of-Onboarding-Users-Strategies-for-Enhanced-Conversion

Bachelor thesis is submitted in fulfilment of the requirements for the Bachelor of Science degree in the Department of Business Analytics and Information Technologies at the Faculty of Applied Sciences of Ukrainian Catholic University.

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seanwood/gcc-nmf

Real-time GCC-NMF Blind Speech Separation and Enhancement

Language: Python - Size: 43.2 MB - Last synced at: 23 days ago - Pushed at: about 6 years ago - Stars: 319 - Forks: 134

iakovoskritikos/Machine-Learning

Machine Learning for Biomedical Engineers

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: about 21 hours ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 2

nla-group/classix

Fast and explainable clustering in Python

Language: Python - Size: 297 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 116 - Forks: 12

tejaswirupa/Unsupervised-Learning-Analysis-of-causes-of-death-among-children

Analyzed global child mortality data using PCA and clustering to identify cause-based patterns across 180+ countries. Revealed dominant mortality factors like respiratory infections and preterm birth in high-risk regions.

Language: Jupyter Notebook - Size: 7.02 MB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

OmarrAymann/Machine-learning-projects

A collection of machine learning projects covering supervised learning and unsupervised learning. Each project includes: Clean and reproducible code End-to-end pipeline: data preprocessing, modeling, evaluation, visualization Well-documented notebooks and scripts Use of popular ML libraries like Scikit-learn

Language: Jupyter Notebook - Size: 5.68 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

alvinadar/Hierarchical-Clustering

Agglomerative HC step by step concept

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

measterpojo/Denoising-Autoencoders-DAEs-for-Domain-Adaptation

Denoising Autoencoders (DAEs) for Domain Adaptation using DAEs to find the invariant features for classification

Language: Jupyter Notebook - Size: 43 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

temulenbd/tb-unsupervised-learning

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

Language: Jupyter Notebook - Size: 291 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AVoss84/bayes-anomaly

A Python library for explainable Bayesian Anomaly Detection

Language: Jupyter Notebook - Size: 4.17 MB - Last synced at: 5 days ago - Pushed at: 2 months ago - Stars: 9 - Forks: 1

luofuli/DualRL

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (IJCAI 2019)

Language: Python - Size: 34.8 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 277 - Forks: 46

fatimagulomova/iu-projects

IU Projects

Language: Jupyter Notebook - Size: 127 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

havelhakimi/gene-expression

Agglomerative based clustering on gene expression dataset

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 8 - Forks: 0

DragonflyRobotics/MAGIST-Algorithm

Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

Language: Python - Size: 139 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

opencog/opencog

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

Language: Scheme - Size: 178 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2,370 - Forks: 727

aomdahl/gleanr_workflow

Sparse factorization framework to integrate GWAS studies and identify shared latent genetic components

Language: R - Size: 54.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

Hanhlevna/Manhos

This package aims to provide a platform for assessment of hotel online reviews. Datasets were collected from TripAdvisor and Booking.

Language: Python - Size: 7.81 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Statistics-and-Machine-Learning-with-R/Statistical-Methods-and-Machine-Learning-in-R

This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

Language: R - Size: 24.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 14 - Forks: 12

KenethGarcia/ClassiPyGRB

This repository contains all the updates, code, and documentation related to ClassiPyGRB.

Language: Python - Size: 371 MB - Last synced at: 10 days ago - Pushed at: 12 months ago - Stars: 17 - Forks: 2

yaricom/goNEAT

The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation

Language: Go - Size: 3.54 MB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 77 - Forks: 18

eudesgccunha/ecommerce-rfm-clustering

Customer clustering from RFM results for an e-commerce.

Size: 7.06 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

sushant1827/Creating-Customer-Segments

Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor

Language: Jupyter Notebook - Size: 551 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

Onyedikachi-E/customer_segmentation_deployment

This customer segmentation model. Check it out it is awsome and can be integrated on platforms

Language: Jupyter Notebook - Size: 487 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

1adityakadam/Footwear-Classification-with-Machine-Learning

This Machine Learning project uses K-means clustering and Expectation-Maximization (EM) algorithms to classify footwear types from the Footwear Kaggle dataset. Key features include image preprocessing, dimensionality reduction, and result visualization. The project explores unsupervised learning for footwear classification.

Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

philiptitus/Book-Recommendation

Recommender system using collaborative filtering algorithm for recommnding books to read

Language: Jupyter Notebook - Size: 4.28 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nakulpandit/ml_1

Machine Learning

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Yaa-de-champ/Machine-Learning

for various machine learning projects

Language: Jupyter Notebook - Size: 31.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

yaricom/goNEAT_NS

This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima

Language: Go - Size: 4.54 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 40 - Forks: 7

Pevicsanch/unsupervised-learning-classification

Learn how to use Python to performance unsupervised learning classification

Language: HTML - Size: 12.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

noar689/carbon-footprint-reduction

ML | recommendation system | low carbon products

Language: Jupyter Notebook - Size: 116 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Molingejr/machine_learning_models

Applying machine learning models to make predictions and find patterns within data

Language: Jupyter Notebook - Size: 2.33 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

arush18/Brain-Tumor-Detection

Brain Tumor Detection using a VGG16-based CNN to classify MRI scans.

Language: Jupyter Notebook - Size: 121 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nullHawk/k-means

Implementation of K-means algorithm from scratch with adaptive distance metrics

Language: Python - Size: 57.6 KB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

kevinwood15/Python_ML_KMeans_Project

This project uses the KMeans ML algorithm to identify segments of the broader population that form the core customer base of a company.

Language: Jupyter Notebook - Size: 275 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 2

ayushcodes13/Machine-Learning-Practice

This repository contains hands-on projects and implementations of various machine learning techniques.

Language: Jupyter Notebook - Size: 3.94 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

CyprianFusi/Credit-Card-Customer-Segmentation-using-k-means-Algorithm

You are a data scientist working for a credit card company. You're asked to help segment a dataset containing information about the company’s clients into different groups to enable the company to apply different business strategies for each type of customer.

Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

zenklinov/PCA

PCA is a statistical technique for reducing the dimensionality of a dataset

Language: R - Size: 183 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

zenklinov/Clustering_K-Means_Metrics_PCA

Comparing Euclidean Distance, Manhattan Distance, Cosine Distance, with PCA in K-Means Clustering

Language: Jupyter Notebook - Size: 479 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Shailesh-Padhariya/Online-Retail-Clustering

This project applies the K-Means clustering algorithm to segment customers based on their purchasing behavior. The dataset used contains transaction data for an online retail store, and the project aims to group customers using three key metrics: Recency, Frequency, and Monetary Value (RFM).

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

Birmingham-and-Solihull-ICS/Unsupervised-Clustering-Practices

K-means and hierarchical clustering of GP practices based on QOF performance measures

Size: 24.4 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

nafisalawalidris/Advanced-Fraud-Detection-with-Anomaly-Detection

This repository demonstrates how to build a robust fraud detection system that combines supervised learning techniques with anomaly detection models. It provides end-to-end implementation, from data preprocessing and model training to deploying a real-time fraud detection API using FastAPI.

Language: Jupyter Notebook - Size: 2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0