GitHub topics: crisp-dm | Ecosyste.ms: Repos

Kamaranis/FARS-Data-Analysis-Preparation

Data preparation and feature engineering pipeline for analyzing fatal traffic accidents in the USA, culminating in a PCA for dimensionality reduction.

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raulcimpe/Housing-Affordability-London-2010-2025-

Analysis of housing affordability for key workers in London (2010–2025) using Python (CRISP-DM) and Tableau dashboards.

Language: Jupyter Notebook - Size: 2.29 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

park-kwang-woon/tml-visitor-behavior-analysis

🧠 Case study on data preprocessing and behavioral analysis of TechnoMagicLand visitors. Includes clustering, correlation, and visualization in R, with focus on identifying repeat visitors and improving engagement strategies.

Language: R - Size: 554 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

Abhinay49/TravelTide-Customer-Segmentation

Customer segmentation project for TravelTide using the CRISP-DM framework. Includes data exploration, feature engineering, clustering (KMeans + PCA), and business recommendations. Final deliverables: executive summary, stakeholder presentation, and cluster–perk mapping to support a personalized rewards program.

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kfrural/leiteintel

Data analysis project applying CRISP-DM on Big Data to deliver insights and predictions for Brazil’s milk production chain, aiding decision-making with interactive dashboards and reports.

Language: Python - Size: 3.75 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

joelmarodrigues/capstone-project-BSc2025

YOLOv8-based object detection model to monitor cycle lanes and identify bicycles, scooters, helmets, and hi-vis vests. Includes full CRISP-DM pipeline and real-world deployment simulation.

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bangaji313/Analisis-Sentimen-dan-Regresi-Ulasan

Proyek Machine Learning untuk menganalisis sentimen (Klasifikasi) dan memprediksi skor (Regresi) ulasan aplikasi "Wondr by BNI" menggunakan metodologi CRISP-DM, diimplementasikan sebagai aplikasi web interaktif dengan Streamlit.

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omkarbhad/seattle-airbnb-data-analysis

Developed a data-driven web app to identify the best neighborhoods and price influencers for Airbnb listings in Seattle.

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SergeyFilipov/tml-visitor-behavior-analysis

🧠 Case study on data preprocessing and behavioral analysis of TechnoMagicLand visitors. Includes clustering, correlation, and visualization in R, with focus on identifying repeat visitors and improving engagement strategies.

Language: R - Size: 568 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

HussainBadreddeen/AutoML_Thesis

Project for my thesis where i utilise the HARD arabic dataset do pre processing on it then compare autoML tuned hyperparameters vs a default non-tuned option

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anaclarahs139/AutoMPG-Analysis

🔍 Fuel efficiency (mpg) analysis and prediction using linear regression and GAM models on the StatLib Auto dataset (1983). Includes preprocessing, correlation, subset selection, and model evaluation in R.

Language: R - Size: 534 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SergeyFilipov/AutoMPG-Analysis

🔍 Fuel efficiency (mpg) analysis and prediction using linear regression and GAM models on the StatLib Auto dataset (1983). Includes preprocessing, correlation, subset selection, and model evaluation in R.

Language: R - Size: 541 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

JuanLopezAranzazu/proyecto4-ciencia-datos

Proyecto 4 para ciencia de datos usando la metodología CRISP-DM

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samaalharbi2/Project-Data-Science-Blog-Post

A data science project from Udacity’s Nanodegree — exploring what drives developer success

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ajaythakur958/case_stydy_jp_morgan

In this report we Convert a business problem into an analytical problem and the ability to break the process down using CRISP-DM model

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jdcarvajalc/pulmonary-tuberculosis-screening

This project is a Flask web application that integrates with TensorFlow a CNN model to be able to give predictions of two classes: "Normal" and "Tuberculosis". The user can upload their photo to be able to process it and also have a contrast enhancement filter applied with CLAHE.

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DeyvedAntonio/Projeto_Turnover_colaboradores

Projeto de análise de dados sobre turnover de colaboradores da empresa. Utilizando excel e técnicas de análise descritiva.

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Afra233/Recommendation-System-Analysis

A scalable recommendation system that leverages historical user data to provide personalized suggestions across e-commerce, streaming, social media, and news platforms. It ensures accurate, diverse, and relevant recommendations while maintaining real-time performance.

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Orphoros/RomanNumbersClassificationLab

Classifying Roman Number Images with Machine Learning

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sukhijapiyush/Lending-Club-Case-Study

Case Study for Lending Club Company to find parameters for defaulting of loan

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matth-adenyo/TransBorder_Freight_Data_Analysis

Trans-Border Freight Data Analysis using the CRISP-DM methodology

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stella-spyrou/Recommender-Systems---Collaborative-Filtering-CF-Approach

Building Personalised Recommendations with Machine Learning for Financial Services Marketing: A Collaborative Filtering Approach

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TouradBaba/model_engineering

This repository hosts a machine learning tool for breast cancer classification, emphasizing model interpretability. It is deployed on Streamlit Cloud, with a PostgreSQL database for tracking results and data drift, and includes an automated retraining workflow.

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jen2004/CS-Capstone-Project-A-Classification-Model-for-Penguin-Species-Identification

This is a machine-learning tool for the fictional World Penguin Conservation Organization (WPCO) identifies penguin species using bill length and depth measurements. Built with the Palmer Penguins Dataset in a Jupyter Notebook on Google Colab, it delivers accurate, efficient, and non-invasive predictions, achieving 97% accuracy.

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IrmaIzquierdo/Lista-rankeada

Este repositorio contiene los insumos (notebooks) generados para el proyecto de minería de datos Rank Los notebooks en la metodologia CRISP-DM (Cross-Industry Standard Process for Data Mining), paso a paso para cada fase del proyecto.

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ZarahShibli/Retail-Analysis-with-Walmart-Data

The aim of this project to retail analysis with Walmart data.

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subhashpolisetti/CRISPDM-SEMMA-KDD-Workflows

This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,

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Xavieprowel/crispy-palm-tree

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Milanpeter-77/Competition-AXA-Data-Science-Challenge

AXA Data Science Challenge

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kfrural/customer-churn-prediction

Customer churn prediction using machine learning. The project follows CRISP-DM and KDD methodologies, including data preprocessing, feature engineering, modeling, and evaluation. It also features an interactive dashboard for visualizing results.

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JRicardoCardona/Poverty-Level-Classification-Costa-Rica

This project aims to develop a machine learning model to predict the poverty level of households in Costa Rica

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DeyvedAntonio/Projeto_Vendas_Alocacao_custos_Marketing

Vendas: Alocação de custos de Marketing - Como maximizar o lucro da startup aumentando as vendas dos cursos e/ou diminuindo os custos de marketing com as campanhas?

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iRavshan/Data-Science-and-AI

Join us

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lfguevarag97/Thesis-MSC-2023

Documentación del trabajo de investigación de Tesis de Maestría - Luis Felipe Guevara Gómez

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mafda/seattle_airbnb_data_analysis

This repository contains a comprehensive analysis of the Seattle Airbnb dataset, conducted using the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology.

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cbozan/graduation-project

Graduation project categorizes popular search phrases using Python and Spark and presents them on a website to inspire creators.

Language: Python - Size: 402 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

MichaelVerdegaal/crisp-dm-template

A ready to use template for the CRISP-DM data science workflow

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tommykwok722/Lead-Prediction-System

Develop a Lead Prediction System to enhance marketing efforts by accurately identifying prospective customers.

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apolotakeshi/cc-crispdm

This is a cookie-cutter for crisp-dm mainly on creating analysis and exploring. Further work will be to create a Data Science template aswell

Language: Python - Size: 17.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 3

jonasaacampos/analise_pix_spark

Análise de transações fraudulentas com base em uma amostra de dados históricos

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r-gg/bi-assignments

Solutions to the two practical assignments of the TU Wien Business Intelligence course (WS2022).

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difasafrina/DASHBOARD-NETFLIX-USERBASE-INSIGHT

Welcome to our GitHub repositories, where we showcase the dashboards featured in our portfolio. We hope these resources help you improve your visualization skills. Explore and take your projects to the next level! 🚀🔍

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Aisyahrahmap/Dashboard-Netflix-Userbase-Insight

Welcome to our GitHub repositories, where we showcase the dashboards featured in our portfolio. We hope these resources help you improve your visualization skills. Explore and take your projects to the next level! 🚀🔍

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Ting-DS/Data-Scientist-Nanodegreee-Udacity

Media Big Data Analysis using Spark & AWS EMR, Data Storytelling, Build ETL & Machine Learning Pipeline for NLP tasks, A/B Testing Design & Post-Analysis & Customer Targeting, build time series dashboard using Flask and Plotly, Recommendation System

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pasqualedem/RocketLeague-RankPredictor

Prediction of the rank of a player given its statistic from the match

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JessMog/Python-Mini-Project-

MTN Cote D'Ivoire technology upgrade evaluation and analysis.

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jonasaacampos/CRISP-DM

Checklist e anotações para entrega de projetos de machine learning.

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dgluesen/ss20-applied-programming

This repository contains the scripts and notebooks for my lecture "Applied Programming" at FOM in summer term 2020.

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TobiasGleiter/data-science

Exploring Renovation Potentials: Data-Driven Insights for Renovation Service Providers in Chemnitz

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amy-panda/NBA_Career_Prediction

Predicting if a NBA rookie player will last at least 5 years in the league

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maryamteimouri/DataAnalysis-and-KnowledgeDiscovery

This project aims to practice the steps of Crisp Data Mining ( CRISP-DM ). The repository includes 3 phases, data understanding, supervised learning, and unsupervised learning.

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baslia/crisp_dm

Framework to implement CRISP-DM methodology

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DavidZucchet/WomenInTech

CRISP-DM analysis for understanding the role of women in tech (Stack Overflow Survey 2020)

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Anag0es/projetos-ml

Este é um lugar onde guardo vários projetos para entender como funciona a aprendizagem de máquina. Cada projeto é uma forma de praticar o que estou aprendendo nos meus estudos.

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Asikpalysik/Walmart_Sales_Forecast

Walmart Store Sales Forecasting

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Srking501/futurelearn_mooc

A summative coursework for CSC8631 Data Management and Exploratory Data Analysis

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panambY/Hourly_Energy_Consumption

Over 10 years of hourly energy consumption data from PJM in Megawatts

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MichaelVerdegaal/crispy-workflow

Modified CRISP-DM template for the practical researcher

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timo282/Tanzania_Pumps_Prediction

Prediction of the functionality of Tanzanian pumps with Machine Learning. Exam for lecture Data Exploration Project at DHBW Ravensburg.

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Carlosgc88/IBM-Data-Science-Projects

This repository contains the final projects for courses in the IBM Data Science Professional Certificate

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joshuayeung/Write-A-Data-Science-Blog-Post

CRISP-DM Project of Udacity Data Scientist Nanodegree

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epg117/Data-Mining-Australian-Rains

Data mining project, about the rain situation in Australia

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SamuelBarbosaDev/DataExpert

Elaborar modelos estatísticos, criar algoritmos, solucionar problemas e expandir a estratégia de negócios.

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yogeshwaran-shanmuganathan/Airline-Passenger-Satisfaction

Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

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htwu1998/Application_Fraud_Detection

Application Fraud Detection Project.

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Jandersolutions/super_mercado

Este projeto permitirá que a rede de supermercados compreenda melhor as interações entre clientes e funcionários, identificando oportunidades de aprimoramento no atendimento. Aumentando a satisfação do cliente e melhorando a eficiência

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gabriellouzada/dnc

Desafios concluídos na Formação em Dados pela escola Dinâmica (DNC). | Challenges done in the Data Training Course at Dinâmica school (DNC).

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karlvmsousa/Solucoes-Data-Mining

Repositório pessoal da disciplina do Centro de Informática da UFPE (CIn - UFPE) IN1166 - Soluções de Mineração de Dados

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beatriz-lafuente/Predict-Number-of-Sets

This project follows the CRISP-DM methodology to predict the number of sets to complete a professional tennis match.

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ZakiKurdya/Predictive-Maintenance

Data Science CSCI 3320 Final Project | Predictive Maintenance

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yousefebrahimi0/Business-Cases-with-Data-Science-Case-1

Hotel customer segmentation project

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bdavis9725/Medical-Data-Mining

Cardiovascular Legacy Data assignment using Crisp_DM & Python

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mrat1618/airbnb-eda-sydney

What we can learn from Sydney AirBnB data?

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msavilov/DS_management

Менеджмент дата-проектов

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AneshaaK/Winner-Pokemon-Prediction

Project aim is to use machine learning for predicting the winner of Pokémon among player choices. Potential audiences are the general public interested in playing the game and company management.

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ijrios/TRM_praedictio_data_analysis

Forum Repraesentativas Exchange Rate Praedictio – TRM (USD/CO).

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nurskurmanbekov/IBM-Data_Science-Professional-Certification

This repository provides an online certification program in Data Science and Machine Learning offered by IBM and Coursera. The program covers topics such as data science methodology, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. The courses are hands-on and conducted on the IBM Cloud,

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MANOJPATRA1991/data-scientist-nanodegree

Project submissions for the Udacity's Data Scientist Nanodegree

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triyoza/Buyer-Rating-Prediction

A final project in Sharing Vision Data Science Bootcamp

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Yi-Chen-Lin2019/Predictive-maintenance-with-machine-learning

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

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diogolhc/feup-m.eic-machine-learning-proj

:chart: Predicting Credit default following the CRISP-DM methodology

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S-Mann/data_mining_crisp_dm

This is a sample for a Data Mining project following CRISP-DM methodology

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ValeriaPineda23/Loan-Eligibility-Predictions

Applying CRISP-DM methodology for predicting Loan Elegibility

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SaxionAMI/Saxion-AI-Training

Materials accompanying the Saxion AI Training sessions organised in 2021.

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pablocssousa/estudos

Projeto desenvolvido para poder mostrar/praticar alguns dos conceitos que venho estudando ao longo da minha jornada no mundo do Big Data.

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UNSpecializationAI/BigFivePersonality

The current project provides a Machine Learning trained model that is able to classify the trait with maximum value of the Big Five Personality Test, given the answers of this one.

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nicolasantero/DS-ML-Predict-review-score_Olist

Project developed for the course Data Mining at UFSC

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sukhijapiyush/Advanced-Regression-Surprise-House

Effect of Regularization of L1 and L2 on Linear Regression with Alpha value selection using GridSearchCV

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sukhijapiyush/Linear-Regression-Bike-Share

Multivariate Linear regression model on bike sharing dataset to find significant features

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DeepKariaX/DASS-Prediction-IBM-SPSS-Modeler

DASS (Depression Anxiety Stress Scales) Prediction using IBM SPSS Modeler (Methodology - CRISP DM)

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panambY/Rossmann_Store_Sale

Forecast sales using store, promotion, and competitor data

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naratiz/PrecoceMS

Projeto de Data Science aplicada a área da pecuária usando o método CRISP-DM.

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kasiotis/Data-Management-and-Exploratory-Data-Analysis

This was a project that was part of my Data Science with AI Master's degree. As part of this project I had to follow the CRISP-DM methodology and use the ProjectTemplate library to carry out my EDA on a never seen before collection of datasets. The process included working to set the business objectives, understand the provided data, preparing it for analysis and carrying out the final statistical analysis. Furthermore, a 20-page report along with a presentation were produced to explain the details of the whole process and showcase findings.

Language: R - Size: 33.2 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

kasiotis/TeraScope-Supercomputer-performance-EDA

A Terapixel visualization requires the use of systems that are far larger and more complex than the ordinary computer system. The goal of this investigation is primarily to delve into the matters of software system and hardware performance and operation of supercomputers that run Terapixel visualization applications.

Language: R - Size: 1.29 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0