dbscan-clustering | Topic | Ecosyste.ms: Repos

Topic: "dbscan-clustering"

anish-lakkapragada/SeaLion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Language: Python - Size: 37.9 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 333 - Forks: 35

moon-hotel/MachineLearningWithMe

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。

Language: Jupyter Notebook - Size: 35.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 254 - Forks: 47

eren-ck/st_dbscan

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

Language: Python - Size: 517 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 147 - Forks: 28

wangyiqiu/dbscan-python

Theoretically Efficient and Practical Parallel DBSCAN

Language: C++ - Size: 315 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 84 - Forks: 17

sandipanpaul21/Clustering-in-Python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 81 - Forks: 35

mithi/point-cloud-clusters 📦

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

Language: Python - Size: 802 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 58 - Forks: 21

LahiruJayasinghe/machine-failure-detection

PCA and DBSCAN based anomaly and outlier detection method for time series data.

Language: Python - Size: 14.9 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 42 - Forks: 11

PacktWorkshops/The-Machine-Learning-Workshop

An interactive approach to understanding Machine Learning using scikit-learn

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 38 - Forks: 48

PacktWorkshops/The-Unsupervised-Learning-Workshop

An Interactive Approach to Understanding Unsupervised Learning Algorithms

Language: Jupyter Notebook - Size: 115 MB - Last synced at: 6 days ago - Pushed at: over 4 years ago - Stars: 29 - Forks: 31

dvida/cyoptics-clustering

Fast OPTICS clustering in Cython + gradient cluster extraction

Language: Jupyter Notebook - Size: 199 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 27 - Forks: 6

yl-jiang/Clustering-Python

Python Clustering Algorithms

Language: Python - Size: 861 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 27 - Forks: 8

AugustoCL/ClusterAnalysis.jl

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

Language: Julia - Size: 6.3 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 4

xmba15/generic_dbscan

generic DBSCAN on CPU & GPU

Language: C++ - Size: 250 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 2

MikhailStartsev/sp_tool

Smooth pursuit detection tool for eye tracking recordings

Language: Python - Size: 6.57 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 7

csymvoul/Incremental_DBSCAN

An Incremental DBSCAN approach in Python for real-time monitoring data.

Language: Python - Size: 157 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 2

mesh-pch/DBSCAN

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms in C++

Language: C++ - Size: 346 KB - Last synced at: 9 months ago - Pushed at: about 5 years ago - Stars: 13 - Forks: 0

souvikmajumder26/Any-Face-Clustering

📸 Face Clustering Engine developed using OpenCV & DBSCAN, deployed as a Streamlit Web App to deliver uploaded images grouped according to the individual unique faces in them.

Language: Jupyter Notebook - Size: 32.2 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 12 - Forks: 5

cdxOo/dbscan

clustering data via DBSCAN

Language: JavaScript - Size: 568 KB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 3

AsadiAhmad/DBSCAN

DBSCAN is clustering algorithm.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 11 - Forks: 0

chen0040/java-clustering

Package provides java implementation of various clustering algorithms

Language: Java - Size: 130 KB - Last synced at: 4 days ago - Pushed at: about 8 years ago - Stars: 11 - Forks: 6

gbroques/dbscan

DBSCAN density-based clustering algorithm in Python.

Language: Jupyter Notebook - Size: 290 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 1

kelindar/dbscan Fork of sohlich/go-dbscan

Implementation of DBSCAN clustering algorithm in Golang

Language: Go - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 3

gis-ops/dbscan-clustering 📦

🌏 Colorful app to compute dbscan clusters with TurfJS powered by the almighty HERE Maps Places API.

Language: JavaScript - Size: 4.37 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 9

EmilienN/Data-Science-Portfolio

Language: Jupyter Notebook - Size: 54.9 MB - Last synced at: 9 months ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 3

alifrmf/Customer-Segmentation-Using-Clustering-Algorithms

Customer Segmentation Using Unsupervised Machine Learning Algorithms

Language: Jupyter Notebook - Size: 74.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 0

ptiagi/IP2Vec

This repo contains implementation of IP2Vec model which is used for learning similarities between IP Addresses

Language: Python - Size: 4.88 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 3

ShyrenMore/sem08

A compilation of codes for SMA, DC, ADS

Language: Python - Size: 1.63 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 3

0zAND1z/dictao

Decentralized Intelligent Contact Tracing of Animals and Objects

Language: Python - Size: 792 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

aag1990/UAHL

Unsupervised Analysis Framework for Heterogenous Log-Files (Patterns Extractor)

Language: Python - Size: 9.86 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 3

danny-1k/torchclust

Efficient and Scalable Implementations of Clustering Algorithms using Pytorch.

Language: Python - Size: 96.7 KB - Last synced at: 9 days ago - Pushed at: 11 months ago - Stars: 6 - Forks: 0

opsabarsec/E-commerce-customers-automatic-clustering

E-commerce customers automatic grouping by unsupervised ML/AI. Data from the Kaggle Olist dataset

Language: Jupyter Notebook - Size: 51.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2

tharunchitipolu/Clustering-geolocation-data-with-python

We have taxi rank locations, and want to define key clusters of these taxis where we can build service stations for all taxis operating in that region.

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 0

surbhardwaj/VDMR-DBSCAN

Research Work which I conducted as a part of my Master's thesis. Proposed a Map Reduce based scalable Density based clustering algorithm which is able to find clusters of varied density.

Language: Java - Size: 3.6 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 2

Yyalexx/Inter-RAO-hackathon

ТурбоХакатон на платформе codenrock.com (DBSCAN, seaborn, matplotlib)

Language: Jupyter Notebook - Size: 7.29 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

SayamAlt/Bank-Customer-Segmentation

Successfully established a clustering model which can categorize the customers of a renowned Indian bank into several distinct groups, based on their behavior patterns and demographic details.

Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 1

MoinDalvs/Assignment_East-West_Airlines

Problem Statement Perform clustering (Hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters

Language: Jupyter Notebook - Size: 3.47 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 3

pushkarsaini18/Customer-Behaviour-Pattern

Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors, and concerns of different types of customers. Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments. For example, instead of spending money to market a new product to every customer in the company’s database, a company can analyze which customer segment is most likely to buy the product and then market the product only on that particular segment.

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

paul-antony/DBSCAN

DBSCAN clustering algorithm implementation

Language: Python - Size: 562 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 5

vaibhavbhagee/Data-Mining

Data Mining course projects

Language: C++ - Size: 67.8 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 0

charmichokshi/Unsupervised-Image-Segmentation-Algorithms

Language: Python - Size: 1.29 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 2

havelhakimi/BankMarketing

Perform anomaly detection on Bank Marketing dataset

Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

Armin-Abdollahi/Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

sylvainma/Explorify

Photography Spot Exploration Using Unsupervised Machine Learning

Language: Jupyter Notebook - Size: 221 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

geehaad/ML-Master-Projects

Couple of ML projects implemented during my master journy

Language: Jupyter Notebook - Size: 16 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

Prakadeeswaran05/Pointcloud_Clustering_DBSCAN

Finding out optimal number of clusters in a pointcloud using DBSCAN algorithm

Language: Python - Size: 905 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

elahe-dastan/shovel

Digging for Data :pick:

Language: HTML - Size: 8.26 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

anuragithub/OLDC

A simple methodology to optimize the candidate model by searching through an optimized clustered graph based on levenshtein distance.

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 0

himanshu-100/Meteor-Shower-Detector

Find a cluster of region on world map where the frequency of meteor shower is high.

Language: HTML - Size: 727 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 1

jeongwhanchoi/TrackML-Particle-Tracking

High Energy Physics Particle Tracking in CERN Detectors

Language: Jupyter Notebook - Size: 6.04 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 1

Faroja/Olist-Customers-Segementation

Olist Customers Segementation using 3 method Domain Knowledge, KMeans & DBScan. After Customers segment I Analyst our customers segment behavior

Language: Jupyter Notebook - Size: 71.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

PatD123/Crop-Lane-Detect

Lane Detection using DBSCAN + IPM + A Bit of Temporal Smoothing

Language: Python - Size: 720 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 3

FabrizioMusacchio/dimensionality_reduction_in_neuroscience

Course material for "Dimensionality reduction in Neuroscience"

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 3 - Forks: 1

willGuimont/DBSCAN

DBSCAN in Python

Language: Python - Size: 19.5 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

harisankar01/IEEE-ML-Projects

An collection of machine learning projects implemented based on IEEE papers.

Language: Jupyter Notebook - Size: 6.73 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

abhimanyubhowmik/DBNex

A repository for the research article titled "DBNex: Deep Belief Network and Explainable AI based Financial Fraud Detection".

Language: Jupyter Notebook - Size: 47.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

navreeetkaur/data-mining-assignments

Assignments of the Data Mining course COL761(2018-19) @ IIT Delhi

Language: Shell - Size: 2.98 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

zhuye88/anne-dbscan-demo Fork of cswords/anne-dbscan-demo

Demo of using aNNE similarity for DBSCAN.

Language: MATLAB - Size: 33.2 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 3

SasCezar/PedestrianTrajectoryClustering

Automatic classification of pedestrian trajectories using clustering techniques.

Language: Python - Size: 5.93 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 3

nickinack/MLC

C++ Emulator for Unsupervised clustering Algorithms

Language: C++ - Size: 21.5 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

mkamran37/CSE-601-Data-mining

CSE 601 Data mining and bioinformatics

Language: Python - Size: 4.06 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

deslum/clustery

Cluster analysis engine

Language: Go - Size: 12.7 MB - Last synced at: 5 months ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0

mcoric96/Crime-analysis

New York crime analysis - R - Data mining course - association rules - density clustering(DBSCAN) - hotspots detection - mapping crimes

Language: HTML - Size: 20.6 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 2

himanshu-100/DBSCAN-Clustering--With-Visual-Representation-

An implementation of DBSCAN algorithm for clustering. This is made on 2 dimensions so as to provide visual representation. The repository consists of 3 files for Data Set Generation (cpp), implementation of dbscan algorithm (cpp), visual representation of clustered data (py).

Language: C++ - Size: 4.88 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 0

Vanessa96/Anomaly_Detection_Ship_trajectories

Language: HTML - Size: 25.4 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1

PrashantShuklaa/Lane-Detection-on-Indian-roads Fork of Giscle/Moto-Dream-Lane-Detection-

This repository is related to detecting road lanes.

Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1

Samia35-2973/Deep-Learning-for-Explainable-Traffic-Anomaly-Detection-in-Dhaka

The project introduces a Multi-Stage Traffic Anomaly Analysis Framework for identifying and analyzing urban traffic congestion, particularly in Dhaka. Originally utilizing Faster R-CNN and DBSCAN, it has been upgraded to state-of-the-art YOLOv9e and YOLOv10l models for enhanced accuracy and efficiency.

Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

CartesianXR7/Meridian

An open-source intelligent RSS news aggregator with advanced clustering, scoring, and ranking capabilities

Language: Python - Size: 42 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

NehaPant14/Density-based-clustering

Density based clustering

Language: Jupyter Notebook - Size: 459 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

Visco01/gtfs_stops_clustering

A gem to read GTFS stops data and create clusters based on coordinates and stop names' similarities.

Language: Ruby - Size: 53.7 KB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

pajaskowiak/dbcv

Density-Based Clustering Validation

Language: MATLAB - Size: 356 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

shanuhalli/Assignment-Clustering

Perform Clustering (Hierarchical, K Means Clustering and DBSCAN) for the airlines and crime data to obtain optimum number of clusters. Draw the inferences from the clusters obtained.

Language: Jupyter Notebook - Size: 5.49 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

aliyzd95/improved-DBSCAN

DBSCAN improvement so that the algorithm works well with data with different densities

Language: Python - Size: 466 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

AmirHHasani/Machine-Learning-Algorithms

A collection of my practices using the following algorithms: DBSCAN, KNN, Decision Tree Classifier, K-means, Apriori, SMOTE, SVM

Language: Jupyter Notebook - Size: 342 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

rahimenaghavi/machine-learning-projects

Language: Jupyter Notebook - Size: 836 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

deepanshu-Raj/K-Means-Agorithm-Implementation

This repo contains the Implementation of K-Means Clustering Algorithm from scratch and an Image Segmentation Project, implemented using the same algorithm.

Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

aminzayer/Amin-University-Data-Science

All data mining machine learning algorithms are basically coded by displaying solutions with Python

Language: Jupyter Notebook - Size: 5.98 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

mayank0rastogi/MACHINE-LEARNING-ALGORITHMS

This Repository Contains Different Machine Learning and Important Concepts

Language: Jupyter Notebook - Size: 4.32 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

MohamedSebaie/Algorithm-WorkShop-In_Python-ITI_Clustering_Project

Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)

Language: Jupyter Notebook - Size: 15 MB - Last synced at: 27 days ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

divinenaman/dbscan-mapreduce

DBSCAN implementation on mapreduce

Language: Java - Size: 247 KB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

reidhoch/dbscan

Density-based spatial clustering of applications with noise (DBSCAN)

Language: C# - Size: 30.3 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

NikhilSKashyap/11-Projects-to-DataScience

In this 11 project series, we will explore Data Science concepts using different Kaggle datasets.

Language: Jupyter Notebook - Size: 118 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 2

NemesLaszlo/KMeans_and_DBScan_Clustering

Clustering is the task of dividing the population or data points into a number of groups such that data points in the same groups are more similar to other data points in the same group and dissimilar to the data points in other groups. It is basically a collection of objects on the basis of similarity and dissimilarity between them.

Language: Jupyter Notebook - Size: 107 KB - Last synced at: 1 day ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

ksator/machine_learning_with_HealthBot 📦

Machine learning 101. Network anomaly detection using HealthBot and machine learning.

Language: Python - Size: 5.63 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 2

gu18168/DBSCANSD

Rust implementation for DBSCANSD, a trajectory clustering algorithm.

Language: Rust - Size: 2.43 MB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

Michael-Gkotsis/DBSCAN

A Density-based spatial clustering of applications with noise implementation to C-languange

Language: C - Size: 16.6 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

MaybeShewill-CV/machine-learning-package

machine learning method implemention

Language: C++ - Size: 13.4 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 0

Ajeeb-Alameen/machine-learning

This repository contains machine learning projects from the Fundamentals of Machine Learning course at GUC.

Language: Jupyter Notebook - Size: 4.37 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

Boykadakim/User-Clustering-with-BERT-Models

User Clustering Pipelines with BERT Models on Long and Heterogeneous Tweets - BSc Thesis

Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

Nevin-Adatte/Face-Clustering-and-Retrieval-System

Language: Python - Size: 14.6 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

imildositoe/car_pedestrian_lidar_data_processing

Object detection, classification, and tracking using LiDAR data collected by a Blickfeld Cube 1 sensor.

Language: Python - Size: 18.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

MadhukarSaiBabu/ML-for-Workforce-Analytics-Sales-Forecasting-Segmentation-Sentiment-Analysis

Implemented machine learning across HR, Sales, Marketing, and PR to improve decision-making. Used models like XGBoost, Prophet, LSTM, clustering, and NLP to enhance retention, forecasting, segmentation, and sentiment analysis for business growth.

Language: Jupyter Notebook - Size: 4.88 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Soumyad3110/Netflix-Recommendation-System

Recommendation of movies

Language: Python - Size: 21.5 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

IthavinduU/DBSCAN-Algorithm-for-Investment-Portfolio-Creation

a data-driven stock portfolio optimization strategy using historical price data and modern portfolio theory. It dynamically rebalances monthly to maximize the Sharpe ratio and is benchmarked against the SPY ETF for performance comparison.

Language: Jupyter Notebook - Size: 4.14 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

dinhngoc267/implement-DBSCAN-from-scratch

A from-scratch implementation of the DBSCAN clustering algorithm using NumPy, complete with visualization and noise detection.

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

dennismgoetz/MA_predicting_Shapley_values

Implementation part of my master thesis "Predicting Shapley values in routing problems with machine learning"

Language: Jupyter Notebook - Size: 31.2 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

kiannaquines/crowd-monitoring-app

Undergraduate Capstone Project Crowd Monitoring System That Utilized Artificial Intelligence Web Dashboard

Language: TypeScript - Size: 1.66 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

ShrinivasaPH/ML-Clustering-Countries

This project clusters countries based on socio-economic factors using Gaussian Mixture Model (GMM). Input data like child mortality, income, etc., and get a prediction of whether a country is Poor Developing or Rich. The results are visualized on an interactive world map, allowing you to explore global clustering patterns.

Language: Python - Size: 3.31 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0