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An open API service indexing awesome lists of open source software.

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.

https://github.com/jasontanx/deep-learning-bank-deposit

A bank deposit prediction (deep learning) project from my MSc Data Science course

bank-marketing data-science deep-learning

Last synced: 29 Jun 2026

https://github.com/mitali-juvekar/ds_proj1_fake_news_detection

Creating a fake news prediction model using Logistic Regression. Dataset is taken from Kaggle.

data-science fake-news kaggle-dataset machine-learning

Last synced: 17 Jun 2025

https://github.com/alexandresajus/shot-cards

A Taipy app to analyze shooting performance

data-science firearms guns polar-charts python shooting taipy

Last synced: 27 Mar 2025

https://github.com/jakebrehm/ezpz-reducer

🪓 Concatenates and then decimates one or more csv files.

data-analysis data-manipulation data-science python python3

Last synced: 27 Mar 2025

https://github.com/brevex/hotel-booking-demand-data-analysis

Data analysis in Python of demand for urban hotels and resorts showing their causes and relationships

data-analysis data-science hotel-booking-analysis kaggle python

Last synced: 08 May 2026

https://github.com/abhinav330/unsupervised-learning-groping-of-schools

This Python notebook demonstrates an exploratory data analysis (EDA) and clustering exercise using the pandas, seaborn, and matplotlib libraries. The code works with a dataset called 'College_Data' and explores college-related attributes, including 'Private' status, graduation rates, and enrollment data.

data-science kmeans-algorithm kmeans-clustering kmeans-clustering-algorithm machine-learning python unsupervised-learning

Last synced: 16 May 2026

https://github.com/alexandresajus/bike-accidentology-paris

A visualisation of bike accidents and bike infrastructure in Paris 2021

data-science tableau

Last synced: 27 Mar 2025

https://github.com/ebirders/ebird-notebooks

eBird Notebooks is collection of Jupyter notebooks for analysing data from the eBird Basic Dataset or downloaded using the eBird API.

data-science django ebird jupyter-lab jupyter-notebooks

Last synced: 14 May 2026

https://github.com/pawlo77/mnist-computer-vision

Repository for Computer-Vision project of Data Science Academic Circle at Faculty of Mathematics and Information Science, Warsaw University of Technology

computer-vision data-science maschine-learning mnist

Last synced: 17 Apr 2026

https://github.com/pawlo77/autoprep

Automatic ML library for enhanced data preprocessing and explainability

automl data-science maschine-learning pipeline python

Last synced: 23 Aug 2025

https://github.com/angchekar28/lung-cancer-prediction

This project builds and compares multiple machine learning models to predict lung cancer based on patient attributes. It evaluates classification models like Logistic Regression, Decision Tree, Random Forest, and SVM for early diagnosis.

data-science data-visualization jupyter-notebook lung-cancer-detection machine-learning model-comparison python

Last synced: 14 May 2026

https://github.com/shivamsharma32/datamart-case-study-sql-

Data Dart is my latest venture and I want your help to analyze the sales and performance of my venture. In June 2020 - large scale supply changes were made at Data Mart. All Data Mart products now use sustainable packaging methods in every single step from the farm all the way to the customer.

data-science dataanalysis datacleaning datanalytics mssql sql

Last synced: 20 Jul 2025

https://github.com/andrepxx/sydney

A library for visualizing very large datasets.

data-science golang-library graphics-library plotting visualization

Last synced: 01 Jul 2026

https://github.com/omr5221/python_ds_google_colabs

Python DS Concepts in Google Colab

colab-notebook data-science python3

Last synced: 28 Apr 2026

https://github.com/mkearney/colloquium

Colloquium presentation for Communication Studies at University of Kansas

big-data colloquium communication communication-studies data-science html5 presentation slides slidify

Last synced: 07 Jul 2025

https://github.com/montanaz0r/roll_over-mit-6.0002-course-

Solution to the task i have encountered while studying Data Science MIT 6.0002 course.

data-science mit python3

Last synced: 01 Apr 2025

https://github.com/dadvaiahpavan/ai-data-scientist-

AI-powered tool for dataset analysis, featuring data preprocessing, classification, regression, anomaly detection, and text analysis. Built with scikit-learn, pandas, and Plotly for visualization. Includes an interactive Streamlit web interface for real-time data analysis.

ai anomaly-detection classification data-analysis data-science machine-learning panda plotu regression scikit-learn sentiment-analysis streamlit

Last synced: 03 May 2026

https://github.com/marionchaff/surf-mail-alert

Machine learning pipeline for surf condition forecasting, integrating data collection, model training, inference, and automated email alerts

data-science mail-alerts ml ml-pipeline python weather-alerts

Last synced: 11 Apr 2025

https://github.com/rubenhari/data-science-projects

A collection of my data science projects

data-science python tfidf

Last synced: 09 Jul 2025

https://github.com/j-prt/getrecd

Board game recommendation engine using machine learning. Flask back end, deployed on Heroku.

data-engineering data-science flask-application webscraping

Last synced: 18 Jun 2025

https://github.com/josepablodmg/monte-carlo-cashflow-and-decision-analysis

Advanced Monte Carlo simulation analyzing cash flows, variable/fixed costs, and profit distributions in Python.

data-science decision-analysis financial-modeling jupyter-notebook monte-carlo-simulation probability python university

Last synced: 16 May 2026

https://github.com/mikma03/learning_path

The main file here is Markdown, which will be a map in the process of knowledge dissemination in the field of DS, ML, DL. Additionally, there will be side topics, such as setting up the work environment.

data-science learning machine-learning powershell python resource setup system-programming workflow

Last synced: 14 May 2026

https://github.com/taruchit/bits_dissertation

Binary and multi-class classifiers to classify benign and malicious events, by using nature inspired Heuristic algorithms for feature selection.

artificial-bee-colony-algorithm data-science data-visualization exploratory-data-analysis feature-engineering feature-selection flower-pollination-algorithm k-nearest-neighbor-classifier machine-learning python recall

Last synced: 17 May 2026

https://github.com/prcharan592/olympic-insights-historical-data-analytics-in-r

This project analyzes 120 years of Olympic history (1896–2016), uncovering trends and insights from the data

data data-analytics data-science data-visualization kaggle r-programming

Last synced: 03 Apr 2025

https://github.com/ali-mhrez/mathematics-of-data-science

A collection of Jupyter Notebooks exploring mathematical concepts and machine learning algorithms relevant to data science, based on the PhD course "Mathematics of Data Science" at the University of Debrecen.

data-science jupyter-notebook machine-learning probability-theory python

Last synced: 20 May 2026

https://github.com/dsite42/capstone_project_rossmann

This is the final project of my 6-month training as a Certified Data Scientist at XDi - Experience Design Institut GmbH

data-science data-visualization machine-learning plotly python regression-models reports

Last synced: 15 May 2026

https://github.com/thchilly/mlds102_py_exercises

Complete exercise sets from MLDS Practical Data Science and Applications course

data-science matplotlib numpy pandas python scikit-learn scipy tensorflow

Last synced: 06 Apr 2026

https://github.com/senaayy/adhd-network-efficiency

🧠 End-to-end fMRI analysis pipeline comparing ADHD brain topology vs. Healthy Controls using Graph Theory (Global Efficiency & Clustering). Built with Nilearn, NetworkX, and Docker for reproducible neuroscience.

adhd bioinformatics brain-networks computational-neuroscience data-science docker fmri graph-theory network-analysis networkx neuroscience nilearn python scikit-learn

Last synced: 17 Jun 2026

https://github.com/chris-santiago/tsfeast

A collection of Scikit-Learn compatible time series transformers and tools.

data-science feature-engineering python scikit-learn time-series timeseries-features transformers

Last synced: 01 May 2026

https://github.com/ferrangarciarovira/sp500-ml-forecasting

Forecasting S&P 500 returns using ML models across multiple time horizons (1-day, 1-week, 1-month). Includes feature engineering, rolling-window backtesting, and performance evaluation to assess predictive power and trading utility of each model.

backtesting data-science feature-engineering financial-forecasting investment-strategies machine-learning python quantitative-finance regression-models sp500 time-series

Last synced: 08 May 2025

https://github.com/rohitinu6/sleep-disorder-prediction

This project predicts the likelihood of sleep disorders based on various health and lifestyle factors.

data-science eda health-prediction healthcare-application machine-learning machine-learning-algorithms python sleep-analysis sleep-disorders visualization

Last synced: 14 May 2026

https://github.com/geo-y20/mall-shoppers-customer-segmentation-analysis

analyze the shopping behaviors and demographic profiles of customers visiting a mall using various clustering techniques.

customersegmentation data-science datamining dendrogram density-based-clustering jupyter-notebook kmeans kmeans-clustering kmedoids-clustering python

Last synced: 17 May 2026

https://github.com/smohanta23/google-play-store-analytics

This Internship project involves transforming raw Google Play Store data into actionable insights via ETL, data analytics & visualization, using sentiment analysis, revenue-impact studies & category-wise tracking with Plotly & HTML.

data-science data-visualization dataanalytics etl googleplaystore plotly python timebasedfilter visualization

Last synced: 11 Sep 2025

https://github.com/sharoonjoseph321/social_media_eda

Data Analysis on social media apps ,using pandas, python, matplotlib.

data data-analysis data-science data-visualization matplotlib programming-language project python pythonprojects

Last synced: 03 Mar 2025

https://github.com/josafary-ds/curso_dnc

Repositório para armazenamento dos arquivos de estudo e projetos DNC - Cientista de Dados

data-analysis data-science data-visualization machine-learning powerbi python

Last synced: 13 Mar 2025

https://github.com/bayunova28/airbnb_market_analytics

This repository contains about data analytics project using PySpark SQL for Airbnb at NYC

airbnb business-intelligence data-analytics data-engineering data-science data-visualization pyspark-sql

Last synced: 05 Apr 2025

https://github.com/bayunova28/netflix

This repository contains about my data analysis project from netflix streaming platform

data-analytics data-science movies netflix show sql-server

Last synced: 05 Apr 2025

https://github.com/dsite42/simple_data_visualizer

This is a simple tool to visualize data for a quick Exploratory Data Analysis (EDA). You can create various plot types as seaborn or plotly plot via a GUI in multiple windows (RelPlot, PairPlot, JointPlot, DisPlot, CatPlot, LmPlot, 3DPlot).

data-analysis data-science data-visualisation data-visualization eda exploratory-data-analysis plotly seaborn

Last synced: 12 May 2026

https://github.com/aasmirnov-webdev/data_science_projects

Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".

bert catboost data-science database lgbm mashine-learning matplotlib numpy pandas python pytorch scikit-learn scipy seaborn sql xgboost

Last synced: 06 Apr 2026

https://github.com/sai-123-code/omdena-mexico-air-quality-prediction

This project is part of omdena Local chapter named "Air Quality Prediction and Personalized Health Recommendations for Mexico City" and this repository contains all related resources used by me for this project. Website: https://www.omdena.com/chapter-challenges/air-quality-prediction-and-personalized-health-recommendations-for-mexico-city

aqi-monitor data-science folium-maps forecasting-time-series geospatial-analysis mexico-city python streamlit-webapp

Last synced: 14 May 2026

https://github.com/samaalharbi2/customer-review-classification

This project leverages Natural Language Processing (NLP) and machine learning techniques to classify customer reviews into categories based on whether they are positive or negative. It uses a Random

classification data-science nlp-machine-learning pipeline python

Last synced: 17 May 2026

https://github.com/felixamaladhas/big-mart-sales-prediction

Sales data from Big Mart stores with product and outlet details. The goal is to predict Item_Outlet_Sales using features like item type, MRP, store type, and more.

analysis bigmart-sales-prediction bussiness-intelligence data-science machine-learning python

Last synced: 14 May 2026

https://github.com/kuanjiahong/covid19-analysis

A simple project to familiarize myself with data analysis

data data-science data-visualization pandas python

Last synced: 02 Apr 2025

https://github.com/fractalate/data-sdot-trees

Seattle Department of Transportation Trees Dataset

data-science jupyter-notebook python seattle trees

Last synced: 17 Mar 2025

https://github.com/alejandrolara11/desafio_latam_introduccion_analisis_de_datos

Repositorio del curso "Introducción al Análisis de Datos" de Desafío Latam. Ejercicios prácticos realizados durante el curso, enfocados en análisis de datos con Python, Pandas, y visualización básica.

data-analysis data-science data-visualization matplotlib numpy pandas python seaborn statsmodels

Last synced: 29 Apr 2026

https://github.com/antoniosbarotsis/ds_practice

I'll be uploading small data science projects I complete here.

data-science machine-learning r

Last synced: 05 Apr 2025

https://github.com/manasapuellela/ai-ml-experiments

A collection of small AI/ML experiments, data analyses, and model prototypes.

ai data-science deep-learning embeddings huggingface jupyter-notebook machine-learning nlp python pytorch semantic-search sklearn

Last synced: 06 Apr 2026

https://github.com/nehul1149/olympic-data-analysis

This project is an interactive data visualization and analytics platform for exploring historical Olympic Games data. Built with Python and Streamlit, it offers an in-depth analysis of medal tallies, athlete statistics, and country-wise performance trends, providing users with powerful insights into the world's biggest sporting event.

analysis data-analysis data-science data-visualization matplotlib python streamlit

Last synced: 18 May 2026

https://github.com/nafis2508/mobile-price-predictor

Machine learning project that classifies mobile phones into price ranges (low, medium, high, very high) based on hardware specifications.

classification data-science eda jupyter-notebook kagle knn logistic-regression machine-learning mobile-price-prediction python scikit-learn xgboost

Last synced: 24 Jun 2026

https://github.com/manelli/ml

Machine learning resources

data-science deep-learning machine-learning statistics

Last synced: 23 Jun 2026

https://github.com/itskshitija/blinkit-data-analysis-using-sql

This project aims to analyze Blinkit order data using SQL to derive meaningful insights through Exploratory Data Analysis (EDA). Various SQL queries are used to explore customer details, order trends, revenue generation, and product performance.

data-science dataanalysis marketing-analytics mysql mysqlworkbench sql

Last synced: 02 Jul 2026

https://github.com/UznetDev/Smoking-Prediction

This project focuses on analyzing the "Smoking" dataset and building a predictive model for smoking status based on various health metrics. The goal is to identify factors influencing smoking behavior and develop a reliable model for prediction.

ai classification data data-science kaggle-competition machine-learning ml roc-auc sklearn smoking

Last synced: 28 Mar 2025

https://github.com/szymonrucinski/pippi-lang

Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.

data-cleaning data-science nlp pipeline scikit-learn

Last synced: 30 Apr 2026

https://github.com/omerdduran/riskfactor-heart

This ML project predicts heart disease using logistic regression on the Cleveland Heart Disease UCI dataset, featuring advanced preprocessing and medical feature engineering, achieving 82.1% accuracy with strong cross-validation.

cardiovascular-health data-science data-visualization heart-disease-prediction logistic-regression machine-learning medical-ai scikit-learn

Last synced: 14 May 2026

https://github.com/cliffordnwanna/electric_vehicle_type_prediction

This project uses Support Vector Machines (SVM) to predict electric vehicle prices based on features like make, model, range, and base MSRP. It includes data preprocessing, model training, and evaluation using performance metrics like MSE and R-squared. The model aims to enhance vehicle price prediction for market analysis and valuation.

data-science machine-learning-algorithms predictive-modeling python svm svm-model

Last synced: 14 May 2026

https://github.com/ashishsingh789/data_visualization

Data visualization project using Python to analyze categorical and continuous variables. Includes bar charts, histograms, and scatter plots. Libraries used: pandas, matplotlib, and seaborn.

analysis barchart data data-science data-visualization histogram matplotlib pandas-dataframe scatter-plot seaborn

Last synced: 07 Sep 2025

https://github.com/darkdk123/house-valuation-model

A Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.

data-analysis data-science data-visualization matplotlib-pyplot multivariate-regression predictive-modeling statistics

Last synced: 07 Jul 2025

https://github.com/comp-management-data-project/datascience-dhdk-gp24

Software system to manage cultural heritage objects based on tools and activities, processing data in CSV/JSON and querying SQL/Blazegraph databases.

blazegraph cultural-heritage data-science databases digital-humanities rdf software-development sparql sql

Last synced: 16 Feb 2026

https://github.com/muavia1/pwc-digital-intelligence-virtual-internship

Built Python classification models, analyzed feature importance, and created visual representations. Developed a valuation document, analyzed historical data, forecasted cash flows, and determined portfolio present value.

classification data-science digital forage intelligence internship pwc python

Last synced: 02 May 2026

https://github.com/ianramzy/ml-workshops

📖 Some of my exercises from machine learning workshops I have attended.

data-science machine-learning python

Last synced: 14 May 2026

https://github.com/aalkiyumi/project-4-big-data-analysis-with-pyspark-on-weather-data

In this project, I analyzed weather data from the NCEI Global Surface Summary of Day dataset using PySpark in Jupyter Notebook. Tasks included data cleaning, statistical analysis, and forecasting for temperature, wind speed, precipitation, and extreme weather events. The project also predicts future weather patterns for Cincinnati and Florida.

big-data-analytics cs5165 data-analysis data-cleaning data-engineering data-science introduction-to-cloud-computing jupyter-notebook machine-learning precipitation-analysis predictive-modeling pyspark statistical-analysis temperature-forecasting time-series-forecasting uc uc2026 university-of-cincinnati wind-speed-data

Last synced: 17 Mar 2025

https://github.com/alinpahontu2912/numerical-methods

First Homework for the Numerical Methods course

algorithms data-science matlab numerical-methods octave

Last synced: 26 Mar 2025

https://github.com/zulfachafidz/green_horizon_forecasting_peak_organic_avocado_sales_with_the_prophet_algorithm

The Green Horizon Project leverages the Prophet algorithm to predict peak sales of organic avocados, supporting the campaign "APEAM GO ORGANIC." Using Python and Looker Studio, this analysis aims to provide deep insight into sales trends and potential, forming the basis of smarter marketing strategies.

algorithm algorithms analytics data data-analysis data-engineering data-mining data-science data-visualization forecasting machine-learning machine-learning-algorithms prophet-model python python-script

Last synced: 17 May 2026

https://github.com/laurobmb/ml-diabetes-classifier

Este artigo documenta a jornada completa de criação de um projeto de Machine Learning, do início ao fim. O objetivo é desenvolver um modelo capaz de classificar pacientes em três categorias de risco de diabetes: Não Diabético, Pré-Diabético e Diabético

ai-in-healthcare classification data-science diagnosis healthcare healthcare-application machine-learning medical-ai predictive-models python sklearn

Last synced: 15 May 2026

https://github.com/devdezzies/deep-learning-with-pytorch

This repository contains a collection of tutorials, examples, and projects for learning and implementing deep learning techniques using PyTorch.

artificial-intelligence computer-vision data-science deep-learning neural-network pytorch

Last synced: 16 May 2026

https://github.com/arpanpramanik2003/loan-status-prediction

The **Loan Status Prediction Model** predicts loan approval based on applicant details like income, credit history, and loan amount. It uses data preprocessing, an SVC model, and achieves around 79% accuracy. The trained model is saved for future use.

data-processing data-science loan-approval-prediction loanprediction machine-learning mlpipelines model-evaluation pickle predictive-analytics sklearn svm-classifier

Last synced: 17 May 2026

https://github.com/janaom/python-pandas-data-science-tutorial

Python Pandas Data Science Tutorial (Read CSV/Excel, add/delete columns, Filter, Groupby, Slice)

data-science pandas

Last synced: 15 May 2026

https://github.com/dreampipcom/nestor

DreamPip's Intelligence Hub

artificial-intelligence data-science tracking

Last synced: 28 Oct 2025

https://github.com/jeromeshan/pbgca

Physically based galaxy clustering algorithm

clustering data-science python

Last synced: 06 Apr 2026

https://github.com/sadratehranian/pem-fuel-cell

The methodology section details the use of Python for data processing and analysis, employing statistical and machine learning-based anomaly detection techniques to identify potential issues in fuel cell stacks. It emphasizes data preprocessing, feature engineering, exploratory data analysis (EDA), and anomaly detection.

anomaly-detection data-analysis data-science data-visualization exploratory-data-analysis feature-engineering fuel-cell machine-learning preprocessing python statistical-analysis visual-studio-code

Last synced: 26 Mar 2025

https://github.com/sadia-khan13/modern_arts_data_cleaning

Welcome to the Data Cleaning project! This repository is dedicated to showcasing best practices and techniques for cleaning data using Pandas within Jupyter Notebook

data-analysis data-analysis-python data-cleaning data-science jupyter-notebook pandas-python

Last synced: 10 May 2026

https://github.com/yinchi/harvardx-higgs

Files for Choose Your Own Project submission to HarvardX PH125.9x course.

data-science harvardx harvardx-capstone

Last synced: 11 Jan 2026

https://github.com/james-leste/heart_disease_prediction

Early detection and prediction of heart diseases are vital for timely intervention and prevention. In this study, we compare the performance of five machine learning algorithms, namely, K-Nearest Neighbors (KNN), Logistic Regression, Decision Tree, and Random Forest in predicting the presence or absence of heart disease.

data-science jupyter-notebook machine-learning python

Last synced: 15 May 2026

https://github.com/fadhiildzaki/bank_deposit_prediction

This project showcases an end-to-end data science solution to predict whether a client will subscribe to a term deposit based on historical marketing data from a Portuguese banking institution. By leveraging machine learning algorithms, the project aims to improve the efficiency and effectiveness of marketing campaigns.

classification-algorithm data-analyst data-science data-visualization machine-learning python statistical-analysis supervised-learning

Last synced: 15 May 2026

https://github.com/studyresearchprojects/python-for-data-science

🐍 Following "Python for Data Science" Book Exercises

data-science

Last synced: 07 Sep 2025

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