Data Science
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
- GitHub: https://github.com/topics/data-science
- Wikipedia: https://en.wikipedia.org/wiki/Data_science
- Related Topics: data-analysis, data-mining, machine-learning, big-data, data-visualization,
- Aliases: datasciences, data-science-project, data-science-algorithm,
- Last updated: 2026-07-08 00:07:57 UTC
- JSON Representation
https://github.com/johnsesana/statistics-for-ds
General guide on topics to study for Data Science and Machine Learning
data-science machine-learning python statistics
Last synced: 22 Jan 2026
https://github.com/tderflinger/chi-country-facts
Query and analyze World Factbook country facts via a GraphQL API. Uses MongoDB for data storage.
countries data-science economy geography graphql javascript mongodb node opendata world
Last synced: 14 Apr 2026
https://github.com/abhaysingh71/real-estate-analytics
The Gurugram Real Estate Analytics Project is a comprehensive data-driven solution that enhances property decision-making through three key modules: Prediction, Analytics & Visualization, and Recommendation. This project empowers users with valuable insights, enabling smarter and more strategic real estate investments.
analytics data-science dataanalytics datascience-machinelearning house-price-prediction machine-learning-algorithms reccomendersystem webscrapping
Last synced: 27 Jan 2026
https://github.com/hq969/bharatinternproject-01
The SMS Spam Detection Module is a machine learning-based text classification system designed to identify spam messages in SMS texts. Using Natural Language Processing (NLP) and machine learning algorithms, this model classifies messages as either spam or legitimate (ham), helping to filter out unwanted messages.
data-science sms-api spam-detection
Last synced: 15 Oct 2025
https://github.com/amarlearning/neural-network-handwritten-digit
Data Analysis and Machine Learning using custom Neural Network of MNIST DB Handwritten Digits
data-science handwritten-digit-recognition jupyter-notebook kaggle kaggle-digit-recognizer machine-learning neural-network numpy python3 scratch
Last synced: 13 Apr 2026
https://github.com/trafficgcn/mfd_traffic_congestion_for_data_scientists
Plotting a Macroscopic Fundamental Diagram for Data Scientists in Python for Traffic Flow in Congested Conditions
data-science macroscopic-fundamental-diagram matplotlib python traffic traffic-analysis traffic-congestion
Last synced: 18 Oct 2025
https://github.com/mrtkp9993/tradesly-supres
Calculate support and resistance levels for a given ticker.
data-science finance investment python technical-analysis technical-indicators trade trading
Last synced: 18 Feb 2026
https://github.com/inoueakimitsu/cyclicmodel
Statistical causal discovery based on cyclic model
causal-inference data-science probabilistic-programming pymc3 statistics
Last synced: 24 Jan 2026
https://github.com/simoesleticia/sql-pandas-interviewquestions
Práticas e aprimoramento em SQL e Pandas com desafios inspirados em perguntas de entrevistas, disponibilizados pelo site Interview Query . Exercícios categorizados por nível de dificuldade.
data-science desafios interview-questions pandas python sql
Last synced: 24 Jan 2026
https://github.com/shahab-esfandiar/taxidemand-prediction-using-deeplearning
Develope a CNN-LSTM model with Multi-Head Attention mechanism model to Predict Taxi demand
cnn-keras data-science deep-learning pandas python rnn-tensorflow streamlit-webapp taxi-data
Last synced: 24 Jan 2026
https://github.com/kalpanabaheti/mancala-gameplayai-nonpropreitary
Basic functional code for the Mancala Educational Gaming and Feedback Project. Also available: Detailed open-source learning algorithms- some of which are pretty crafty, mind you! - that are designed for the driving logic of the game playing and automated game teaching system.
child child-education data-science decision-trees educational-project game-development machine-learning natural-language-understanding outlier-detection p pedagogy python-3-6 reinforcement-learning-algorithms risk-analysis statistics strategy-game-engine test-automation
Last synced: 30 Jan 2026
https://github.com/pranavj1001/machinelearningrecipes
Machine Learning Recipes 😇 Datasets used here are available at Kaggle
artificial-neural-networks data-science dataset kaggle knn-classifier machine-learning naive-bayes-classifier nlp-machine-learning pca python random-forest sql support-vector-machine
Last synced: 25 Feb 2026
https://github.com/radom12/ai_resume_analyzer
The AI Resume Analyzer is a Streamlit-based application that provides detailed resume analysis, skill recommendations, job search tools, and career insights. Utilizing NLP and machine learning, it helps users identify strengths and improvement areas, suggest relevant courses, and find job opportunities tailored to their profiles.
ai aiml data-science final-year-project machine-learning nlp python resume-analysis selenium streamlit ui web-scraping
Last synced: 30 Jan 2026
https://github.com/shahiransari/movie_recommendation
Built Movie recommendation engine
data-science jupyter-notebook machine-learning movie-recommendation pandas-dataframe python recommendation-system tensorflow
Last synced: 15 Apr 2026
https://github.com/di37/imdb-reviews-sentiment-analysis-using-transformers
This repository contains a complete implementation of a sentiment analysis model using Transformers and TensorFlow. The project classifies IMDB movie reviews as either positive or negative by training Transformer model on the IMDB dataset.
artificial-intelligence data-science deep-learning keras machine-learning natural-language-processing nlp python sentiment-analysis tensorflow text-classification transformers
Last synced: 31 Jan 2026
https://github.com/psaegert/pmtrendviz
Unsupervised Discovery Of Trends In Biomedical Research Based On The PubMed Baseline Repository
biomedical-text-mining clustering data-science document-representation pubmed pubmed-abstracts text-analysis trends
Last synced: 31 Jan 2026
https://github.com/matt-dray/government-toolshed
:speaking_head::hammer_and_wrench: Talk: 'Panic! In The Toolshed', Cross-Government Data Science Community of Interest, June 2023
a11ytables data-science quarto uk-gov-data-science
Last synced: 19 Mar 2026
https://github.com/sambhav228/visualize-data-of-type-2-diabetes
Visualize data of Type 2 Diabetes Using tableau or/and python
data-science data-visualization dataset tableau visualization
Last synced: 26 Feb 2026
https://github.com/jesussantana/modern-artificial-intelligence
Projects that Unleash the Power of AI to Solve Real-World Business Challenges
artificial-intelligence aws-sagemaker azure-ml convolutional-neural-networks data-science datarobot deep-learning google-teachable-machine machine-learning natural-language-processing python3
Last synced: 11 Feb 2026
https://github.com/kalebers/data_streams_parametric_t-sne
Research for Parametric T-SNE in high to low dimensional data stream, published in 2021 by Kalebe Rodrigues Szlachta and Andre de Macedo Wlodkovski, oriented by Jean Paul Barddal, Computer Science graduation from Pontifical Catholic University of Parana (PUCPR)
classifier data-analysis data-science data-visualization machinelearning parametric parametric-tsne python tsne-algorithm tsne-visualization
Last synced: 11 Feb 2026
https://github.com/notyetfound404/personal-website
🚀 Personal website of Cesar Garcia where I'll be documenting my learning journey & sharing insights.
automation data-science hugo machine-learning markdown personal-website python quantitative-finance r static-site
Last synced: 13 Feb 2026
https://github.com/claudiucreanga/claudiucreanga.github.io
Opinions about programming and tools
data-science javascript magento php python
Last synced: 02 Mar 2026
https://github.com/bmsuisse/rusket
rusket 🦀🧺
als association-rules bpr collaborative-filtering data-science eclat fp-growth lightgcn machine-learning market-basket-analysis matrix-factorization personalization pyo3 python recommendation-engine recommender-system recsys rust sasrec sequential-recommendation
Last synced: 12 Mar 2026
https://github.com/adamrossnelson/colscore
College Scorecard Panel Data Builder
college-scorecard college-scorecard-data data-science higher-education research stata
Last synced: 02 Mar 2026
https://github.com/eerkela/bertrand
flexible type extensions for pandas
conversions data-analysis data-engineering data-science multiple-dispatch numpy pandas type-checking type-inference types
Last synced: 27 Mar 2026
https://github.com/billy-enrizky/toronto_apartment_project
GIS Data Science Project Using Folio Library!
Last synced: 03 Mar 2026
https://github.com/spang-lab/fastret
FastRet is an R package for predicting retention times in liquid chromatography. It can be used through the R console or through a graphical user interface.
Last synced: 04 Mar 2026
https://github.com/brayvid/trading-algorithm
Flatiron School Data Science Bootcamp Capstone Project.
data-science dynamic finance leveraged-etf quantconnect strategy
Last synced: 04 Mar 2026
https://github.com/sodevlog/pytrading
Software Platform TradingInPython for trading and data analyse stocks market
ai data-science data-visualization deep-learning finance keras pyton trading trading-algorithms trading-strategies
Last synced: 28 Apr 2026
https://github.com/georgiosioannoucoder/vera-deployed
Voice Emotion Recognition of Audio (VERA) is an open-source project created for the Data Science track for the program CUNY Tech Prep (CTP) in Cohort 8. This is the deployed version of Vera. 🔊
audio-classification classification cnn-model data-science emotion emotion-recognition librosa machine-learning speech-emotion-recognition voice-recognition
Last synced: 17 Apr 2026
https://github.com/emso-exe/comercio_eletronico_brasileiro
Projeto de análise de dados do comércio eletrônico brasileiro disponibilizado pela Olist via plataforma Kaggle.
analise-de-dados ciencia-de-dados data-analytics data-science datascience e-commerce postgres postgresql pyspark python python-3 python3 spark spark-sql sql
Last synced: 04 Apr 2026
https://github.com/milos-agathon/france_built_up_map
How to download raster files from Copernicus land cover website, load them into R, merge into a single raster, calculate average weighted percentage of built-up areas for every French commune and make a pretty choropleth map using <150 lines of code.
bigdata copernicus data-science data-visualization ggplot2 maps r raster satellite-imagery urban-planning
Last synced: 04 Apr 2026
https://github.com/ehtisham-sadiq/ai-pioneers-datascience-arena
This repository is dedicated to the AI Amigos team's participation in the Artificial Intelligence (AI) competition with a focus on Data Science.
artificial-intelligence competition data-analysis data-science data-visualization machine-learning model-building model-evaluation numpy pandas python3 supervised-learning unsupervised-learning
Last synced: 05 May 2026
https://github.com/juancastillo0/tensorflow_dart
TensorFlow bindings in Dart. API modeled after TensorFlowJS. Works using WASM for the web or desktop.
dart data-processing data-science deep-learning flutter machine-learning mathematics neural-networks tensorflow wasm
Last synced: 06 May 2026
https://github.com/velocitatem/citypilot
We put the smarts in smart cities.
ai copilot data-science sandbox smart-city
Last synced: 13 Jun 2026
https://github.com/kaustubhgupta/data-analysis-hub
This is where all my Data Analysis notebooks are present. All the notebooks are either fully explored and have an explanatory readme or a medium article has been published which is linked in the README.
data-analysis data-science google-play-store kaggle matplotlib pandas seaborn
Last synced: 10 May 2026
https://github.com/jay-johnson/datanode
A python 2 container runtime for processing data science tasks and workloads (used by https://github.com/jay-johnson/sci-pype for distributed analysis)
backend-services data-science devops-for-data-science docker docker-x11 machine-learning pandas predictive-analysis python-2 redis s3 seaborn worker-service xgb xgboost
Last synced: 06 May 2026
https://github.com/yassin522/data-sceince-projects
data-science dataanalysis machine-learning python streamlit
Last synced: 10 May 2026
https://github.com/mirokeimioniemi/optimizing-insulin-injection-timing
Data processing and analysis for "Determining the optimal timing for insulin injection to minimize glucose level variability after a meal in ideal conditions" - a research project for the IB Standard Level Mathematics Analysis and Approaches course inspired by my type 1 diabetes.
cgm data-analysis data-science dexcom dexcom-g6 diabetes exploration ib insulin insulin-timing international-baccalaureate mathematics optimization python type-1-diabetes
Last synced: 09 May 2026
https://github.com/kevinliao159/klearn
Statistical & ML Tool Kits for Noisy Data Classification Problems
algorithms data-mining data-science kaggle machine-learning scikit-learn
Last synced: 05 May 2026
https://github.com/edoaltamura/entropy-core-problem
Repository for suppelementary material from my publications on the entropy core problem
cosmology data-science galaxy-clusters high-performance-computing hydrodynamics simulations
Last synced: 12 Jun 2026
https://github.com/synitcool/keyar-mining
Package for machine learning algorithm and data mining
data-mining data-science library machine-learning python-3
Last synced: 09 Jun 2026
https://github.com/ehtisham-sadiq/gradient-descent-for-adaline-the-first-neural-network
Implementing Gradient Descent for ADALINE: The Original Neural Network
adaline artificial-intelligence data-science deep-learning gradient-descent machine-learning neural-network optimization python3
Last synced: 11 May 2026
https://github.com/rohan-paul/machine-learning-and-deep-learning-tutorial-notebooks
Various Machine Learning and Deep Learning Tutorial Notebooks in Blog Format
data data-analysis data-science deep-learning deep-learning-tutorial deep-neural-networks machine-learning machine-learning-algorithms machinelearning neural-network pytorch pytorch-implementation pytorch-tutorial tensorflow
Last synced: 09 May 2026
https://github.com/muhthoriqas/fish_weight_prediction_linear_and_polynomial_regression
MID Project Unhas Machine Learning Course
comparison-of-2-machine-learning-models data-science deep-learning fish-weight linear-regression machine-learning mid-project polynomial-regression python
Last synced: 08 May 2026
https://github.com/pablofrommars/fsharp-notebook
Data Science Notebook for F# interactive
data-science data-visualization fsharp vscode-extension
Last synced: 07 May 2026
https://github.com/edoaltamura/election-predictions
A framework for analysing polling data and predicting election outcomes.
data-engineering data-science data-visualization feature-engineering machine-learning political-science the-economist
Last synced: 14 May 2026
https://github.com/prabhupavitra/numpy-guide-for-data-science
A Hands-On NumPy Tutorial for Data Scientists
aggregations data-science fancyindexing jupyter-notebook numpy numpy-tutorial python python3 sorting vectorized-computation
Last synced: 06 May 2026
https://github.com/datalorax/cos-dataviz
Slides and source code for a talk on data visualization presented through the Center on Open Science
data-science data-visualization
Last synced: 19 Mar 2026
https://github.com/mekhyw/car-resell-price-predictor
Predictor of price of used cars, based on a Craigslist dataset. Developed for the Data Science discipline taught at Insper
Last synced: 11 Jun 2026
https://github.com/david-palma/ibm-ai-engineering
This IBM Professional Certificate covers machine and deep learning with Python, using SciPy, Scikit-Learn, Keras, PyTorch, and TensorFlow to solve real-world problems through labs and projects.
apache-spark artificial-intelligence coursera data-science deep-learning ibm jupyter-notebook machine-learning python
Last synced: 05 May 2026
https://github.com/amstuta/scala-nearest-neighbours
Basic regression / classification nearest neighbours algorithm in Scala/Spark
classification data-science machine-learning nearest-neighbors regression scala spark
Last synced: 05 May 2026
https://github.com/open-risk-academy/academy-course-dat31063
Resources for Open Risk Academy Course: "Class Inheritance in Data Science"
class-inheritance data-science django-orm elearning object-oriented python
Last synced: 09 May 2026
https://github.com/npragin/ai-club-project-management
Materials created by the OSU AI Club Project Management team for members.
data-science learning machine-learning python tutorial
Last synced: 09 Jun 2026
https://github.com/arif-miad/loan-application-risk-prediction-
Comparing multiple classification models for performance 🎯
data-science feature-engineering machine-learning matplotlib numpy pandas python random-forest-classifier regression seaborn
Last synced: 04 May 2026
https://github.com/marwan116/model-composer
Easily compose a model from a set of base models
data-science machine-learning neural-network python tensorflow
Last synced: 28 Apr 2026
https://github.com/camille-maslin/securecard-ai
🛡️ SecureCard-AI: A high-performance credit card fraud detection system implemented in a Jupyter Notebook, achieving 99.97% accuracy.
classification credit-card-fraud-detection data-analysis data-science fraud-detection jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Feb 2026
https://github.com/shaunabanana/simple-bayesnet
A simple visual tool to build and run inference on your own Bayesian Network.
bayesian-inference bayesian-network data-science eel gui machine-learning tool visualization vuejs2
Last synced: 02 May 2026
https://github.com/sherylhyx/auroc-vs-auprc
Code for final year project: AUROC vs AUPRC.
classification data-science machine-learning random-forest regression
Last synced: 26 Mar 2025
https://github.com/04bhavyaa/book-recommendation-system
The Book Recommendation System provides personalized book suggestions using Popularity-Based Recommender, Collaborative Filtering, and Cosine Similarity. Implemented with Flask, it allows users to enter a book title and receive tailored recommendations based on their preferences.
artificial-intelligence book-recommendation-system collaborative-filtering cosine-similarity data-science flask-application machine-learning popularity-based-recommendation recommendation-system recommender-system
Last synced: 17 Apr 2026
https://github.com/anwielts/datasheet-for-dataset
Automatically create standardized documentation for the dataset used in your ML project
artificial-intelligence data-science documentation machine-learning python
Last synced: 14 Jan 2026
https://github.com/stoverc/slots
A collection of slots-related code (initially in Python3, but perhaps more later)
data-analysis data-science monte-carlo-simulation probabilistic-programming probability probability-theory python3 slot-machine slots statistical-analysis statistics
Last synced: 06 Jun 2026
https://github.com/muzk/desafio-latam-ds-python
Solución Desafios curso Data Science de Desafio Latam - https://desafiolatam.com/data-science/
Last synced: 30 Apr 2026
https://github.com/projectcontinuum/continuum-feature-base
base features of continuum platform
analytics big-data continuum continuum-feature data-science
Last synced: 04 Apr 2026
https://github.com/ugurcanerdogan/machine-learning-with-spark
BBM469*ASG3 - Machine Learning with Spark
apache-spark data-science machine-learning spark
Last synced: 24 Apr 2026
https://github.com/negativenagesh/unfake
UnFake is the first platform to integrate a deepfake detection tool directly into the image-downloading process. Check Live by pressing below link -->
computer-vision data-science data-science-projects deep-fake deep-fake-detection deep-learning deep-learning-projects deepfake-detection efficientnetb7 image-processing python streamlit-webapp
Last synced: 27 Feb 2026
https://github.com/nononoexe/setariaviridis
🌾 Field-collected data of green foxtail
data data-science dataset rpackage
Last synced: 27 Feb 2026
https://github.com/polossk/dsml-logs
Competition logs of Data Science & Machine Learning
data-science jupyter-notebook machine-learning-practice python3
Last synced: 17 Apr 2026
https://github.com/montanaz0r/kaggle-house-prices-advanced-regression-techniques
Full data science project workflow that placed me in the top 5% of all competitors (0.11931).
data-science jupyter-notebook kaggle kaggle-competition lightgbm machine-learning pandas python3 regression-models seaborn stacking-ensemble xgboost
Last synced: 14 Apr 2026
https://github.com/mdaiyub/heart-disease-prediction
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.
confusion-matrix data-science decision-tree-classifier gaussiannb kneighborsclassifier logistic-regression machine-learning matplotlib-pyplot numpy pandas python random-forest-classifier seaborn svc-svm
Last synced: 15 Apr 2026
https://github.com/sarincr/data-visualizations-and-dashboards
Data visualization is an interdisciplinary field that deals with the graphic representation of data. It is a particularly efficient way of communicating when the data is numerous as for example a Time Series.
analytics artificial-intelligence big-data bokeh businessintelligence dashboard data-science dataanalysis dataanalytics datavisualization dataviz deep-learning machine-learning matplotlib plotly python python3 seaborn visualization
Last synced: 30 Apr 2026
https://github.com/camara94/choisir-son-modele-de-machine-learning
Le Machine Learning, aussi appelé apprentissage automatique en français, est une forme d’intelligence artificielle permettant aux ordinateurs d’apprendre sans avoir été programmés explicitement à cet effet.
data-science deep-learning knn machine-learning model neural-network sgd-classifier sgd-optimizer
Last synced: 24 Feb 2026
https://github.com/krzjoa/scikit-gbm
scikit-learn compatible tools to work with GBM models
data-science feature-engineering gbm gradient-boosting machine-learning scikit-learn
Last synced: 10 Jul 2025
https://github.com/centralfloridaattorney/yahoostocks
YahooStock is a simple tool to make training and testing splits of stock market data from Yahoo using a ticker symbol.
data-science machine-learning stock-market training-data
Last synced: 11 Jun 2025
https://github.com/alankrantas/colab-python-cookbooks
Experiments of AutoML/data science packages and solving Kaggle competition in Google Colaboratory or DevContainer/Codespace
automatic-machine-learning automl codespace colab-notebook colaboratory data-science datascience deep-learning devcontainer jupyter-notebook kaggle kaggle-competition machine-learning neural-network python python3
Last synced: 27 Apr 2025
https://github.com/btcross26/genestboost
General boosting framework for any regression estimator
data-science gradient-boosting machine-learning python3
Last synced: 21 Jan 2026
https://github.com/munas-git/fake-news-detection
A fake/real news detection system using Sklearn, Django, JavaScript, HTML & CSS
artificial-intelligence data-analysis data-science decision-tree-classifier django fake-news-detection machine-learning natural-language-processing nlp-machine-learning webapp
Last synced: 18 Apr 2026
https://github.com/waasiq/movie-recommender
Movie Recommendation System based on Cosine Similarity
data-science python3 recommender-system streamlit
Last synced: 25 Apr 2026
https://github.com/camsai/standards
CAMSAI Standards provides schemas, validation tools, and data models for materials science and AI research. It ensures data consistency, interoperability, and quality across workflows. Built with Pydantic, it streamlines data integration and supports reproducible, collaborative research in the CAMSAI ecosystem.
artificial-intelligence chemistry data-science json-schema machine-learning materials materials-design materials-informatics materials-science schemas
Last synced: 05 Feb 2026
https://github.com/moindalvs/learn_eda_for_data_science
Univariate, Bivariate and Multi-variate Analysis
bivariate-analysis correlation-analysis data-science data-transformation data-type-conversion data-types-and-structures data-visualization duplicates-removal exploratory-data-analysis imputation missing-values multi-variate-analysis normalization outlier-detection pandas-profiling standardization univariate-analysis
Last synced: 07 Oct 2025
https://github.com/jmbhughes/goes_solar_retriever
Tool to retrieve GOES-R Solar Data
data data-retrieval data-science goes-16 goes-satellite goes16 goes17 solar solar-physics
Last synced: 07 Jan 2026
https://github.com/firefly-cpp/tcx-test-files
A collection of the sports activity (tcx) test files
data-mining data-science garmin-connect tcx-files tcx-parser
Last synced: 19 Mar 2026
https://github.com/tushar365/bike-sharing-rental-prediction
Predict Bike🚲 Rentals with Weather! This project uses regression to predict hourly bike rentals by combining historical usage data with weather information. It helps bike-sharing companies optimize resources and improve user experience.
data-science decision-trees knn-regression linear-regression machine-learning matplotlib-pyplot numpy pandas seaborn
Last synced: 16 Apr 2026
https://github.com/ngr-t/luigi_for_data_science
Extension of luigi.Task more suitable for reproducable data analysis workflows
data-science luigi-workflows python workflow-engine
Last synced: 11 Oct 2025
https://github.com/danielvartan/logolink
🐢 An Interface for Running NetLogo Simulations from R
agent-based-modeling apis behaviorspace complexity-science computational-science computational-social-science data-science ecological-modeling environmental-modeling headless-execution individual-based-modeling multi-agent-systems netlogo r-packages rstats simulations system-dynamics tidyverse
Last synced: 08 Jan 2026
https://github.com/ax-va/numpy-pandas-matplotlib-scikit-learn-vanderplas-2023
These examples provide an introduction to Data Science and classic Machine Learning using NumPy, pandas, Matplotlib, and scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly Media in 2023.
ax-va classic-machine-learning data-science machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 16 Mar 2026
https://github.com/angeligareta/alcohol-consumption
Research about global alcohol consumption related with facts such as nutrition, poverty, or school grades. Results can be found on the website below.
alcohol-consumption analysis data-science national-health nutrition r r-programming upm
Last synced: 14 Jun 2025
https://github.com/moindalvs/survival_analysis_from_scratch
An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.
additive-models cox-regression data-science hazard hazard-ratios kaplan-meier kaplanmeierfitter lifeline log-rank-test multiplicative-model survival survival-analysis survival-regression
Last synced: 23 Jan 2026
https://github.com/azurespheredev/microsoftfabric-exploratorium
A comprehensive educational resource hub dedicated to mastering Microsoft Fabric, offering in-depth tutorials, real-world use cases, and hands-on guides for seamless end-to-end analytics
analytics data-science data-transformation lakehouse microsoft-fabric one-lake powerbi real-time-analytics spark warehouse
Last synced: 13 Feb 2026
https://github.com/benzerinsio/datascience
📊 Data Science & Análise de Dados | Projetos de estudo em Exploração de Dados (EDA), Machine Learning e Deep Learning para prática e demonstração de técnicas analíticas.
analise-de-dados analise-exploratoria analise-exploratoria-de-dados aprendizado-de-maquina aprendizado-profundo data-science data-visualization eda exploratory-analysis exploratory-data-analysis machine-learning numpy pandas python scikit-learn seaborn supervised-learning unsupervised-learning
Last synced: 14 Feb 2026
https://github.com/quantumudit/thereyougo-store-analysis
This project focuses on scraping all the products and their related info from the "There You Go" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
data-analysis data-science data-transformation data-visualization etl jupyter-notebook power-bi python webscraping
Last synced: 21 Apr 2026
https://github.com/aymane-maghouti/loan-credit
This project aims to develop a machine learning model using Logistic Regression for classifying loan credit applications as either approved or rejected.
data-science decision-making feature-engineering flask jupyter-notebook loan-credit logistic-regression machine-learning python sckiit-learn seaborn
Last synced: 29 Apr 2026
https://github.com/nicholas-miklaucic/nicholas-miklaucic.github.io
Thoughts on math, computing, and data
blog data-science data-visualization math personal-website
Last synced: 28 Feb 2026
https://github.com/bhavik-jikadara/thesparksfoundation-data_science_and_business_analytics
Data Science and Business Analytics Internship - The Sparks Foundation
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn
Last synced: 04 Apr 2026
https://github.com/martindbp/merkl
ML pipelines in pure Python with great caching
Last synced: 07 Feb 2026
https://github.com/mine-cetinkaya-rundel/ds-final-project
GitHub repository template accompanying "The 5Ws and 1H of Term Projects in the Introductory Data Science Classroom" by Çetinkaya-Rundel, Dogucu, and Rummerfield (2022)
Last synced: 18 Mar 2026
https://github.com/omkarpattnaik8080/employeeretentionprediction
"This machine learning project predicts employee retention, employing Python and scikit-learn. Utilize AWS for model deployment, ensuring scalability and reliability. Explore predictive analytics to identify factors influencing employee turnover, facilitating proactive retention strategies for organizational stability and growth."
aws data-science machine-learning matplotlib numpy pandas seaborn
Last synced: 16 Apr 2026
