data-processing-and-analysis

There are 0 repository under data-processing-and-analysis topic.

• Hamada-khairi / PFDA-Hamada

  A comprehensive R-based data analysis project that examines housing rental patterns across multiple cities, utilizing statistical methods and visualization techniques to analyze 4,746 properties' data points including rent prices, locations, and amenities. The project employs various R libraries to clean, process, and visualize rental market trends

  apudata-analysisdata-analysis-in-rdata-cleaning-and-preprocessingdata-processing-and-analysisdata-sciencedata-visualization-projectggplot2r-programming-projectsr-statisticsr-studioreal-estate-analyticshouse-rent-prediction
  Language:R 1

• lele394 / M2-Astronomical-Data-Processing

  A jupyter notebook approach using pythong to track and estimate the rotation period of an asteroid.

  asteroidastronomyastronomy-astrophysicsastropycomputational-physicsdata-analysisdata-processingdata-processing-and-analysispython
  Language:Jupyter Notebook 1

• nishatrhythm / Bangladesh-Railway-Trains-Stations-Coaches-Classes-Info

  Comprehensive dataset of trains, coaches, classes and railway stations in Bangladesh, provided in both English and Bengali JSON formats for easy integration into applications and projects.

  bangladesh-railwaydata-processing-and-analysisshohoz-api
  Language:Python 1

• risc-mi / catabra-lib

  data-processing-and-analysisdata-science
  Language:Python 0

• ThakkarVidhi / rfm-customer-segmentation

  Segment Sphere is a customer segmentation tool using RFM analysis to group customers based on recency, frequency, and monetary value. It processes e-commerce data, provides actionable insights, and visualizes results with interactive charts. Ideal for understanding customer behaviour and supporting data-driven decisions.

  clustering-modelscustomer-analysiscustomer-behaviorcustomer-segmentationdata-processing-and-analysisdata-visualizatione-commerce-analyticsinteractive-chartskmeans-clusteringmachine-learningrfm-analysis
  Language:HTML 0

• yashmittalz / IMDB-Sentiment-Analysis

  This project is a Natural Language Processing (NLP) initiative that performs sentiment analysis on IMDB movie reviews.

  data-processing-and-analysisimdbmachine-learningnatural-language-processingpandaspandas-dataframepythonrandom-forest-classifierroc-auc-curve
  Language:Python 0

• bibek36 / Predicting-Employee-Attrition

  This project focuses on predicting employee attrition using machine learning techniques. It analyzes factors influencing employee turnover, such as job satisfaction, work environment, and compensation. By leveraging data preprocessing, feature selection, and classification models, the project provides insights for retaining valuable talents.

  csvdata-cleaningdata-processing-and-analysisdecision-tree-classifierjupyter-notebooklogistic-regressionmachine-learningnaive-bayes-classifierpythonrandom-forest
  Language:Jupyter Notebook

• gabrielcoutinhose / InsightBridge

  From integration to intelligence: uniting Back-end, DevOps, and Data Processing for real-time insights and predictive accuracy.

  backenddata-processing-and-analysisdevopsdockerfastapimachne-learningpandaspostgresqlpythonsqlite

• hari7261 / ResearchAI-URL

  ResearchAI - A Python toolkit for AI/NLP research with modular data processing, vector storage, and retrieval utilities to accelerate experimentation

  aiai-researchdata-processing-and-analysisgeminigoosehari7261langchainnlpweb-scrapingweb-scraping-python
  Language:Python

• JKA098 / Pokemon-Feistiness-MapReduce-Job

  This Project aims to implement a **Hadoop MapReduce job in Pseudo-Distributed Mode** to determine the **feistiest Pokémon** based on their **type**. The job processes the Pokémon dataset (`pokemon.csv`) and outputs a CSV file containing Pokémon **type1, type2, name, and feistiness score**.

  big-data-analyticscsv-processingdata-processing-and-analysisdata-science-projectsdistributed-systemshadoop-mapreducehadoop-streamingopen-datasetspython3ubuntu-terminalfeistiness-analysispseudo-distributed-mode
  Language:Python

• Mariam-coder7 / Analyze-student-performance

  Student Performance Analysis This project analyzes a dataset of 10,000 student records to uncover insights into academic performance. Using Python and Pandas, it processes and visualizes key trends related to students' grades, study habits, and other influencing factors.

  data-processing-and-analysisfeature-engineeringmatplotlibnumpypythonsklearnvisualization
  Language:Jupyter Notebook

• mehanix / dhrw

  🎢 IaaS visual editor to create & deploy data processing pipelines - python, rmq, react, meteorjs

  computational-graphcomputational-graphsdata-analysisdata-pipelinedata-pipelinesdata-processingdata-processing-pipelinesdata-sciencegood-first-issuehelp-wantedmeteorjs-applicationdata-engineeringdata-processing-and-analysisdata-processing-systemdata-visualizationdocker-composerabbitmqreact-flow
  Language:JavaScript

• Navin3d / Deep-Learning-for-SQL-Translation

  English to SQL, English as Query Language

  char-level-rnndata-processing-and-analysislangchainllamamatplotlibsqltensorflow
  Language:Jupyter Notebook

• sam84723 / seismic_magnitude_predictor

  Seismic Magnitude Prediction using Deep Learning

  cnndata-processing-and-analysisdeep-learningneural-networksseismic-processingseismology
  Language:Jupyter Notebook

• Saranya844 / NM---Autonomous-Vehicle-project

  Autonomous Vehicle Project – From messy data to self-driving intelligence! We cleaned and visualized data, built robust AI models, and designed a vision for safe, smart, and autonomous mobility.

  ai-modelautonomous-drivingautonomous-vehiclesself-driving-carai-technologyai-technology-and-developmentdata-processingdata-processing-and-analysis
  Language:Python

• tillbiskup / radiometry

  Reproducible and automated processing and analysis of (synchrotron) radiometry data based on the ASpecD framework

  bessydata-processing-and-analysisevemetrologymlsptbradiometryreproducible-researchreproducible-sciencesynchrotrongood-scientific-practicerecipe-driven-data-analysis
  Language:Python

• zenithyangg / net-entity-classifier

  Intelligent classification system for internet entities (domains, companies, services) using rule-based labeling, machine learning and LLM verification

  automationclassificationdata-processing-and-analysisentity-recognitionllmmachine-learningnlp-machine-learningpythonrule-basedinternet-entities
  Language:Python