comparative-analysis | Topic | Ecosyste.ms: Repos

hatchet/hatchet

Analyze graph/hierarchical performance data using pandas dataframes

Language: Python - Size: 24.8 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 113 - Forks: 37

VirtualRoyalty/PointCloudSegmentation

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

Language: Jupyter Notebook - Size: 780 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 61 - Forks: 14

moshi4/MGCplotter 📦

Microbial Genome Circular plotting tool for comparative genomics using Circos

Language: Python - Size: 68.1 MB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 38 - Forks: 7

LLNL/hatchet

Graph-indexed Pandas DataFrames for analyzing hierarchical performance data

Language: JavaScript - Size: 31.5 MB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 32 - Forks: 18

LLNL/CallFlow

Visualization tool for analyzing call trees and graphs

Language: Vue - Size: 30.2 MB - Last synced at: 16 days ago - Pushed at: about 2 years ago - Stars: 32 - Forks: 4

CodeSopranos/LocalSearch

The research work on local search algorithms

Language: Jupyter Notebook - Size: 346 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 0

evoinfo/cdao

Comparative Data Analysis Ontology - A formalization of concepts and relations relevant to evolutionary comparative analysis

Size: 219 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 4

rnajena/magnipore

Magnipore: Differential single nucleotide changes of ONT signals

Language: Red - Size: 2.23 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 5 - Forks: 0

LLNL/hatchet-tutorial

Live interactive tutorial for Hatchet

Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2

Ledgerback/Solidarity-Project Fork of TheLedgerbackNetwork/Solidarity

The Solidarity Project research programme repository

Language: HTML - Size: 712 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

microsoft/Functional-Validation-Testing-Spark-SQL

Business Validation Testing in Spark SQL

Language: Scala - Size: 43.9 KB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 4

sharmaroshan/Europe-Political-Data-Analysis

This is Europe's Political data which consists of information about life expectancy, pollution, population, unemployment, work hours, weather, trust in police, trust in legal authorities, Income, GDP, leisure satisfaction, trust in politics, environment satisfaction, low savings and crime for all the countries in Europe. I am going to compare these political situations or sentiments of people living in different parts of Europe using Data Analytics and Data Visualization.

Language: Jupyter Notebook - Size: 82 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 2

chstock/DTComPair

Comparison of Binary Diagnostic Tests in a Paired Study Design

Language: R - Size: 4.04 MB - Last synced at: 24 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 1

SK7here/Loan-Approval-Prediction

Performed univariate and bivariate analysis to understand the features and their relationships for loan approval prediction. Achieved highest accuracy of 98% for Extreme Gradient Boosting among all tested machine learning classification models.

Language: Python - Size: 27.3 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

shishir349/Analyzing-the-prices-of-Avocado

The Date of the observation AveragePrice - the average price of a single avocado type - conventional or organic year - the year Region - the city or region of the observation Total Volume - Total number of avocados sold 4046 - Total number of avocados with PLU 4046 sold 4225 - Total number of avocados with PLU 4225 sold 4770 - Total number of avocados with PLU 4770 sold Acknowledgements Many thanks to the Hass Avocado Board for sharing this data

Language: Jupyter Notebook - Size: 3.32 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

andikarachman/ML-RBI-Assessment

Machine learning approach for performing risk-based inspection (RBI) screening assessment

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1

wyjhxq/PopCorn

A python tool to do comparative analysis of mulitple single cell datasets.

Language: Python - Size: 15.1 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

naturalis/mycorrhiza

Evolutionary dynamics of mycorrhizal symbiosis in land plant diversification - trait data and analysis

Language: Perl - Size: 2.46 GB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 1

ash2shukla/BreastCancer_Classification

A comparative analysis of best Classification method for Winsconsin Breast Cancer Data.

Language: Python - Size: 318 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

Stephan-Linzbach/Comparing-Keyword-Importance-Across-Texts

The method extracts representative keywords for each document in a collection using comparative analysis

Language: Python - Size: 111 KB - Last synced at: 16 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

imabutahersiddik/Fluvio-Google-Trends

This project is a dataflow application that fetches Google Search Trends using Fluvio.

Language: Python - Size: 8.79 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

amakaogbu/Hypertension-risk-model

A comparative analysis of 4 ML algorithms. This Hypertension Risk Prediction Model can be described as a machine learning model designed to predict an individual's risk of developing hypertension based on various input parameters.

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

dadavalangege/Classification_Models

Classfying an unbalanced data set of delayed flights with the help of SMOTE and comparing the performance of three different classification models (Decision Tree, Logistic Regression, XGBoost).

Language: Jupyter Notebook - Size: 271 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

dadavalangege/Regression_Models

Creating and comparing three regression models (Linear, Neureal Network & Random Forest) to predict Flight Delay and figuring out which one is the best.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

mwmorale/fibonacci-for-fun

Welcome to fibonacci-for-fun! Here, I show off some of my Java skills and C++ skills and Python skills! I am replicating the sacred "Fibonacci Sequence" with all 3 of the mentioned languages using recursion... that's right - recursion.

Language: Python - Size: 6.84 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

dkutlesic/MarkovChains_Planning5GDeployment

Markov chains and Metropolis-Hastings methods applied to planning a deployment of 5G networks

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

shishir349/Exploring-the-world-of-Football

FIFA 19 is a football simulation video game developed by EA Vancouver as part of Electronic Arts' FIFA series. Announced on 6 June 2018 for its E3 2018 press conference, it was released on 28 September 2018 for PlayStation 3, PlayStation 4, Xbox 360, Xbox One, Nintendo Switch, and Microsoft Windows.It is the 26th installment in the FIFA series. As with FIFA 18, Cristiano Ronaldo initially as the cover athlete of the regular edition: however, following his unanticipated transfer from Spanish club Real Madrid to Italian side Juventus, new cover art was released, featuring Neymar, Kevin De Bruyne and Paulo Dybala.

Language: Jupyter Notebook - Size: 5.21 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

shishir349/Mobile-Price-Comparison-of-Amazon-and-Flipkart

Web Scraping (also termed Screen Scraping, Web Data Extraction, Web Harvesting etc.) is a technique employed to extract large amounts of data from websites whereby the data is extracted and saved to a local file in your computer or to a database in table (spreadsheet) format.

Language: Jupyter Notebook - Size: 56.6 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 3

shishir349/Network-Analysis-on-Cricketers-to-track-down-best-partnerships

Statistics have always had a significant role in sports. As I mentioned above, sports analytics is on the rise and will continue to play a significant role in how teams operate, pick their players, how they play the game, etc. Cricket is no different. The runs scored by a batsman, the wickets taken by a bowler, or the matches won by a cricket team – these are all examples of the most important numbers in the game of cricket.

Language: Jupyter Notebook - Size: 209 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

sharmaroshan/World-Happiness-Report

The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 Update. The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness.

Language: Jupyter Notebook - Size: 801 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1

lancewalk87/CLP-Aquaspector-Device

Hardware/Software | Water Analyzing Digital MCU/TTL/ADC Differential Photometric Device, quantifies water composition, and overall purity.

Language: C - Size: 10.4 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

Joseph-Watts/BayesTraits-Discrete-Nodes-Plots

Creating Consensus Tree Figures with Ancestral State Estimations in BayesTraits

Language: R - Size: 1.37 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

DheerajKN/Image-Processing-Project

Image Processing using C which provides an Comparative Analysis of various Noise Removal Algorithms applied over an Image

Language: C - Size: 606 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

sambhav/IR-system

An information retrieval system for a comparative analysis of TF-IDF and BM25 ranking mechanisms

Language: Python - Size: 1.35 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 2

Milanpeter-77/Coursework-Vienna-Airbnb

Language: Stata - Size: 10.7 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

berru-g/crypto-tool

Crypto Tool's site et app. Feature : Retracement de Fibonacci, comparateur de chart, alerte momentum et moyenne mobile.

Language: JavaScript - Size: 322 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

NekkittAY/MAMGD_Optimizer

Gradient optimization method using exponential damping and second-order discrete derivative for neural networks and multidimensional real functions

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

Polutharuni/Netflix-Dashboard-Tableau

This repository features an interactive Tableau dashboard analyzing Netflix's content trends. It highlights content distribution, genre popularity, and audience preferences, providing insights for content creators and strategists.

Size: 3.81 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

JaspreetSingh-exe/Music-Genre-Classification

This project builds a Music Genre Classification System using SVM, CNN, LSTM, and Transformer models, with YAMNet-based feature extraction. It processes audio files, extracts embeddings, and trains multiple models for comparison. The system predicts genres with high accuracy and provides evaluation metrics like classification reports and confusion.

Language: Jupyter Notebook - Size: 1.08 GB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

chenyongrowan/DOTNB

The DOTNB repository is a collection of code files that implement DOTNB across several programming languages. The DOTNB is the distribution for the Difference Of Two Negative Binomial distributions, i.e., Z=X-Y ~ DOTNB (λ_1,λ_2,p_1,p_2), where X ~ NB(λ_1,p_1 ) and Y ~ NB(λ_2,p_2 ).

Language: Perl - Size: 76.2 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1

chenyongrowan/DEGage

DEGage is a novel model-based method for gene differential expression analysis between two groups of scRNA-seq count data. It employs a novel family of discrete distributions for describing the difference of two NB distributions (named DOTNB).

Language: R - Size: 5.35 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1

Salman-Khan-Mohammed/Work-and-Income-Analysis-using-PowerBI-

The "Work and Income Analysis using Power BI" project features a comprehensive Power BI dashboard designed to analyze and visualize work and income data across multiple employers. The dashboard offers detailed insights into earnings, hours worked, and days off over various months and years.

Size: 5.66 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

rylei-m/RRD_2024_File_Comparison_Tool

A webpage that compares many files with a settable percentage yield. The application will provide highlighted visuals of differences across files.

Language: Python - Size: 53.7 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

amalaluan/da_project-reap

This project involves a comparative analysis of rice cultivation practices in India and the Philippines using Python for data analytics. It aims to uncover key similarities and differences, identify factors contributing to effectiveness, and highlight areas for potential improvement.

Language: Jupyter Notebook - Size: 19.9 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

SwethaJoseph/Statistical-Stock-Performance-Analysis

Conducted a statistical analysis of Microsoft, Tesla, and Apple stock performance compared to the S&P 500, examining price trends, volatility, and correlations to derive investment insights.

Size: 2.5 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Harsha2k3/YT_API_Channel_Comparator

This project utilizes the YouTube API to gather and compare detailed statistics from two YouTube channels. By focusing on various key metrics, the analysis provides a comprehensive comparison between the channels.

Language: Jupyter Notebook - Size: 289 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

rutujsdoshi/Impact-of-Transport-Emissions_Comparative-Study_PowerBI

This project provides a comprehensive understanding of the Impact of Transportation as a sub-sector responsible for green house gas emissions and its impact on the climate.

Size: 26.7 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

youssef-saaed/activity-recognition-using-various-ml-algorithms

This project involves a comprehensive comparative analysis of various machine learning models to classify activities based on a given dataset. The analysis follows a structured approach, including data exploration, model training, model evaluation, and results interpretation to identify the best performing model.

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sayantani-dey/Comparative-Study-Of-ML-Algorithms-For-Flood-Prediction-In-India

A comparative analysis of various ML models for predicting floods in India, primarily utilizing rainfall data(in mm).

Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1

RohithAthalury/Salary-Prediction-Model-for-New-Hires

This model utilizes regression models and accurately predicts employee salaries based on experience, previous CTC, and job roles, promoting fair salary structures and optimizing resource allocation for streamlined HR operations.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

RohithAthalury/Forecasting-and-Analysis-of-Cyber-Crimes

This project employs ensemble learning methods to forecast cybercrime rates, utilizing datasets with population, internet subscriptions, and crime incidents. By analyzing trends and employing metrics like R2 Score and Mean Squared Error, it aims to enhance prediction accuracy and provide insights for effective prevention strategies.

Language: Python - Size: 5.72 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AnchaNarasimha/Salary-Prediction-Model-for-New-Hires

This model utilizes regression models and accurately predicts employee salaries based on experience, previous CTC, and job roles, promoting fair salary structures and optimizing resource allocation for streamlined HR operations.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AnchaNarasimha/Forecasting-and-Analysis-of-Cyber-Crimes

This project employs ensemble learning methods to forecast cybercrime rates, utilizing datasets with population, internet subscriptions, and crime incidents. By analyzing trends and employing metrics like R2 Score and Mean Squared Error, it aims to enhance prediction accuracy and provide insights for effective prevention strategies.

Language: Python - Size: 3.83 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AASHIK-coder/Worldwide_Wine_Production_Analysis

The project analyzes global wine production trends from 1835 to 2022, offering insights and forecasts on the industry's evolution for researchers and wine enthusiasts.

Language: Jupyter Notebook - Size: 381 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Lawrence-Leung/2023-StatisticalModeling-project

A study on the statistical measurement of China's modernization based on the electric vehicle industry chain development

Language: MATLAB - Size: 70.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Priyagha/Portfolio_Returns

This project focuses on analyzing portfolio returns using Fama-French factors, comparing two distinct investment strategies.

Language: Jupyter Notebook - Size: 466 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

giovannivicentin/explorer-bonus-challange-7

This project serves as a hands-on learning experience for practical concepts in JavaScript. The key focus areas in this project include: Object, data structures, Loop structures, Function creation, Comparative, operators.

Language: JavaScript - Size: 2.93 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

syenirasheila/FintechBanking-Prediction-Using-LogisticRegression-RandomForest

This study aims to analyze the comparison of two methods in predicting the success of time deposit marketing campaigns, namely the Logistic Regression and Random Forest classification methods to determine which classification method has the best performance.

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MichaelMoore342/Life-Expectancy-Analysis-Based-on-Sustainable-Development-Indicators

An analysis of the effects of Sustainable Development Goals (SDGs) on life expectancy around the world.

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MichaelMoore342/Probabilistic-Analysis-of-Lightning-Strikes

A comparative analysis of probability density functions for the modelling of peak currents delivered by lighting strikes in Johannesburg.

Language: MATLAB - Size: 330 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MichaelMoore342/House-Price-Prediction

A comparative analysis of machine learning models for house price prediction.

Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tomalexsmith/Cifair-Image-processing

Conducting a comparative analysis of CNN architectures trained on the CiFar10 dataset

Language: Jupyter Notebook - Size: 2.97 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ZJLEOWANG3/ComparativeMetaGenome

Minimetagenomics and Comparative Genomics for 2019Fall Raman-Sorted Single Cell Data EBPR

Language: Jupyter Notebook - Size: 4.04 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

sing-group/evoppi-backend

Backend for the EvoPPI application

Language: Java - Size: 1.15 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 2

Sid-149/Life-Expectancy-Predictor-Comparative-Analysis

This project presents a comparative analysis of life expectancy between developed and developing countries with the help of a Supervised Machine Learning model.

Language: Jupyter Notebook - Size: 859 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

bernatfogarasi/etal

Et al. — Critical Theory Online is an open access electronic volume series launched in 2013 by the Department of Comparative Literature at the University of Szeged, Hungary.

Language: JavaScript - Size: 961 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

agarwalrohan189/Improved-Genetic-Algorithm-for-Eight-Queens-Problem

An easy implementation of the Genetic Algorithm for the Eight Queens Problem and some improvements to the basic design for faster convergence to a possible solution. The project also offers a short comparative study on the performance of the two versions of algorithms and possible reasons for the same.

Language: Python - Size: 681 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Topic: "comparative-analysis"

moshi4/MGCplotter 📦

Ledgerback/Solidarity-Project Fork of TheLedgerbackNetwork/Solidarity