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/aniketmondal/da_iitb_placements_2021

Analysis of IIT Bombay Placements 2021, containing detailed exclusive insights beyond the official institute report. The link of interactive visualizations published in Tableau Public profile is provided in README.md

data-science pandas python tableau

Last synced: 18 Apr 2026

https://github.com/opencasestudies/ocs-opioid-medicare

OCS: Visualize the opioid prescription use in Medicare Part D across States

data-science data-visualization data-wrangling ggplot2 map opioid

Last synced: 23 Jan 2026

https://github.com/gandhasiri-rahul-mohan/text-mining-q2-text-data

1) Extract reviews of any product from ecommerce website like amazon 2) Perform emotion mining

data-science machine-learning python spacy-models text-mining

Last synced: 16 May 2026

https://github.com/jcbritobr/linearregression-intro

Introdução a regressão e modelos lineares

calculus data-science julia linear-algebra linear-regression models

Last synced: 15 Jul 2026

https://github.com/nisaaragharia/mass_summarization

Large Scale Dataset Cleaning (Summarization and Information Extraction) Using LLAMA2 70B

data-science dataset dataset-generation llama2 llms summarization

Last synced: 29 Apr 2026

https://github.com/luminati-io/Facebook-dataset-samples

A sample dataset of over 1000 Facebook posts, extracted using the Bright Data API, ideal for boosting your brand and analyzing competitors.

api data-science datasets facebook web-scraping

Last synced: 09 Apr 2025

https://github.com/rayyan9477/sentiment-analysis-model

This project implements a comprehensive pipeline for cleaning and processing text data, followed by training and evaluating machine learning models for sentiment analysis. It leverages Python, NLTK for natural language processing, scikit-learn for machine learning tasks, and Plotly for data visualization.

data-science machine-learning machine-learning-algorithms natural-language-processing nltk-python python sentiment-analysis

Last synced: 12 Apr 2026

https://github.com/mgobeaalcoba/data_champions_meli

Algorithms and work carried out within the framework of data champions by Mercado Libre

algorithms canvas classification clustering data-science machine-learning python3 scikit-learn

Last synced: 18 Apr 2026

https://github.com/creativepurus/python-basics

🌟 I wanted to share some amazing free resources for learning Python! 🤓👨‍🎓👩‍🎓 So, this repository is all about Basics of Python 🐍

basic basic-algorithm basic-learning basic-programming basic-programming-language coding coding-standards creative-coding creativepuru data-science free machine-learning python python3 pythonbase pythonbasic pythonbasics pythonbasicstutorial resources

Last synced: 30 Apr 2026

https://github.com/nbryttel/sql-taxdatabase

SQL-Taxdatabase (Tax Expense Schema) is a relational database schema designed to manage tax-related expenses.

architecture azure data-science sql tableau visualization

Last synced: 13 Jul 2026

https://github.com/md-emon-hasan/1-simple-stock-price-ml-app

A simple mahcine learning application for stock prices, demonstrating data preprocessing, model training, and deployment using scikit-learn.

data-analysis data-science eda ml-app streamlit-webapp time-series time-series-analysis webapp

Last synced: 31 May 2026

https://github.com/aiwithqasim/recommendationengines

Recommendations Engines with IBM a project of DataScientist Nanodegree on Udacity. For this project i will analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles you think they will like.

data data-manging data-science ibm ipython-notebook normalization python3

Last synced: 18 Apr 2026

https://github.com/lemniscate-world/stratai

This project analyzes financial assets using a Hidden Markov Model (HMM) to identify different market regimes and patterns. The analysis includes calculating daily returns, rolling volatility, and volume changes, and visualizing the hidden states identified by the HMM.

ai assets data data-science data-visualization finance financial-analysis fintech hmm-model hmmlearn machine-learning trading

Last synced: 23 Oct 2025

https://github.com/hansalemaos/permutation_no_repetition

Permutation without repetition - written in Cython - for Numpy

cython data-science no-repetitions numpy pandas permutations

Last synced: 14 Jan 2026

https://github.com/ivinnyaraujo/dataengineer-datascience-python

Data Engineer | Data Science | Azure | Fabric | Notebooks | Python | PySpark | R | More

azure data-engineering data-science microsoft-fabric pandas-python pyspark python r

Last synced: 04 Apr 2026

https://github.com/kingabzpro/julia-dataframes

I will display how it’s easy to use DataFrame.jl, just like pandas in python. I will use simple examples and a few lines of code to demonstrate data manipulation and data visualization. We will be using the famous Heart Disease UCI | Kaggle Dataset which has a binary classification of Heart Disease based on multiple factors.

data-science dataframe heart julia julia-language machine-learning visualization

Last synced: 18 Apr 2026

https://github.com/jubinjacob03/heartdiseaseclassify-ml

Heart Disease Dataset Analysis & Classification using ML models such as linear, support vector machine, k-means, k-nearest neighbors and logistic regression.

data-analysis data-science data-visualization ipython-notebook kaggle-dataset kmeans knn linear-regression logistic-regression machine-learning matplotlib python seaborn support-vector-machine

Last synced: 18 Jan 2026

https://github.com/negativenagesh/Arecaverse

Areca nut quality sorting is a manual process done by farmers, so this project is aimed to make areca nut quality sorting without human intervention

analytics classification classification-project classifier cv2 data-science image-processing machine-learning machine-learning-project machine-learning-projects machinelearningprojects ml-projects mlproject model modelbuilding python rembg streamlit

Last synced: 24 Oct 2025

https://github.com/nceas/crescynt-training

CRESCYNT training material for data rescue and data integration workshops 2018

coral-research data-preservation data-science open-science r reproducible-science tidyverse workshop

Last synced: 13 Jun 2026

https://github.com/shandley/r-tidyverse-for-biologists

A comprehensive course teaching R and the tidyverse for biology graduate students. Hands-on RMarkdown lessons from basics to RNA-seq, microbiome, and metagenomics analysis.

bioinformatics biology course-materials data-analysis data-science education metagenomics microbiome r rmarkdown rnaseq rstats tidyverse tutorial

Last synced: 11 Jul 2026

https://github.com/iam-salma/ml-bootcamp

🧠 A hands-on, beginner-to-advanced Machine Learning Bootcamp covering 🧪 EDA, 🤖 supervised & unsupervised learning, 🎯 model tuning, 🧰 feature engineering & 🚢 deployment using Docker

data-science deep-learning docker eda feature-engineering machine-learning ml-bootcamp model-deployment python supervised-learning unsupervised-learning

Last synced: 18 Apr 2026

https://github.com/ihuzaifashoukat/student-performance-analysis

Professional Data Science project analyzing student performance factors using XGBoost, SHAP implementation, and K-Means Clustering for student segmentation.

analytics clustering data-science education machine-learning python shap student-performance visualization xgboost

Last synced: 04 Apr 2026

https://github.com/hyoaru/sparta-implementing-deep-learning-binary-classification

Peer graded assignment of SPARTA: Implementation of deep learning binary classification on the Internet Movie Database (IMDB) data set.

data-science deep-learning machine-learning python supervised-learning

Last synced: 18 May 2026

https://github.com/milos-agathon/netherlands_rail_density_map

Plot a choropleth map using OSM data and geospatial analysis

bigdata data-science data-visualization geospatial gis maps osm rails rstats

Last synced: 04 Apr 2026

https://github.com/hebaqaisar/movie-recommender-system

AI Recommender System - Recommends you similar movies based on Directors, Tags, Name, Type, Actors, Genre etc

artificial-intelligence data-analysis data-mining data-science jupyter-notebook machine-learning machine-learning-algorithms ml movies-rate pycharm python

Last synced: 17 Apr 2026

https://github.com/vibhujawa/trump_gab_analysis

This analysis considers social media posts from a new platform: Gab.ai for trump

data-science gab

Last synced: 26 Mar 2025

https://github.com/theoliverlear/crypto-trader

A Spring Boot web app that buys and sells cryptocurrencies from API data sources. Its quick trading and other features allow users to leverage computer power to outperform the market.

ai ai-models big-data-analytics cryptocurrency data-science financial full-stack hibernate-jpa machine-learning nodejs python sass service spring-boot tensorflow typescript website

Last synced: 13 Apr 2026

https://github.com/leosimoes/igti-bootcamps-dados

Atividades práticas realizadas durante os bootcamps Cientista de dados e Analista de Machine Learning do IGTI.

data-science machine-learning python

Last synced: 17 Apr 2026

https://github.com/nitish2773/ipl-victory-probability-estimator

The IPL Victory Probability Estimator is a predictive model that estimates the probability of a team winning an IPL (Indian Premier League) match based on historical match data. This project aims to provide insights for cricket analysts, enthusiasts, and sports data scientists by predicting the outcomes of future IPL matches.

data-science machine-learning python3

Last synced: 12 Apr 2026

https://github.com/maemresen/similarity-detection

An example project to detect cheats in an exam with using similarity detection.

data-mining data-science java similarity-analysis text-similarity

Last synced: 08 Jun 2026

https://github.com/RickContreras/StudentPerformancePredictionSaberPro

Modelo de clasificación para predecir el desempeño de estudiantes en las Pruebas Saber Pro en Colombia. Incluye análisis exploratorio de datos, preprocesamiento y modelos de machine learning.

classification colombia data-analysis data-science education educational-assessment exploratory-data-analysis jupyter-notebook machine-learning python saber-pro scikit-learn student-performance

Last synced: 24 Oct 2025

https://github.com/sandk21/detection_faux_billets

Algorithme de détection de faux billets selon leurs dimensions géométriques et application web pour générer les prédictions

data-analysis data-science data-visualization machine-learning pandas python scipy sklearn streamlit

Last synced: 03 Apr 2026

https://github.com/abdelhakim-gh/datamining_project_income_prediction

Predicting income level based on the individual’s personal information

data-mining data-preprocessing data-science data-visualization keras neural-network sklearn

Last synced: 17 Apr 2026

https://github.com/carmoreno/analisisaccidentalidadbogota

Data Analysis about traffic accidents at Bogotá, Colombia.

data-analysis data-science jupyer-notebook matplotlib numpy pandas scikit-learn

Last synced: 17 Apr 2026

https://github.com/prernarohra/quakeguard

QuakeGuard is an innovative project for reducing earthquake intensity and structural damage. It takes a proactive approach to seismic activity, by using complex algorithms and real-time data to improve safety and resilience for people in earthquake-prone areas.

artificial-intelligence backend data-analysis data-science earthquake-intensity final-year-project front-end geology machine-learning open-source python visualization

Last synced: 21 May 2026

https://github.com/santiagohermo/data.tools

Convenience functions for data manipulation

data-analysis data-cleaning data-science data-wrangling

Last synced: 05 Jul 2026

https://github.com/hypertrial/hypertrial

Evaluation library for Hypertrial challenges

challenge data-science package python tournament

Last synced: 14 Jan 2026

https://github.com/willayy/data-science-and-ai

Tasks from a Chalmers course in data science and ai

data-science python school-project

Last synced: 02 Apr 2025

https://github.com/franckalbinet/soilspecdata

A Python package for handling soil spectroscopy data, with a focus on the Open Soil Spectral Library (OSSL).

data-science ossl soil-science soil-spectroscopy

Last synced: 23 Apr 2025

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

This repository is meant to document my hands-on experience with supervised learning algorithms and techniques. It includes a variety of exercises, and experiments using different types of data and tools. Each file represents a step forward in building my machine learning skills.

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms python sciket-learn supervised-machine-learning

Last synced: 06 Mar 2026

https://github.com/md-emon-hasan/learn-deep_learning

A repository containing resources and tutorials for learning deep learning concepts and implementations using Python, TensorFlow, and Keras.

churn-prediction data-science deep-learning keras neural-network tensorflow tensorflow-keras

Last synced: 13 Apr 2026

https://github.com/snehilk1312/data_science

This Repository contains the Data Science things I have done in recent times along with visualization , cleaning , models, statistics, Courses, Datasets. :=)

data-analysis data-science glove natural-language-processing nlp nltk statistics word2vec

Last synced: 02 Apr 2026

https://github.com/prantikmedhi/nasa-koi-classification

ML pipeline classifying Kepler Objects of Interest into confirmed exoplanets, candidates, and false positives. XGBoost model, 94.2% accuracy, 0.922 macro F1, with SHAP explainability and full feature engineering pipeline on NASA's cumulative KOI table.

astronomy astrophysics classification data-science exoplanet-detection feature-engineering jupyter-notebook kepler-mission machine-learning nasa-exoplanet-archive python scikit-learn shap xgboost

Last synced: 15 Jul 2026

https://github.com/atemate/customer-segmentation-toolkit

Data transformations toolkit made from jupyter notebook: https://www.kaggle.com/fabiendaniel/customer-segmentation

data-science data-transformation jupyter mlops nbdev pandas

Last synced: 15 Apr 2026

https://github.com/pak-app/ai-projects

Code For AI Projects Using TensorFlow

ai data-science python tensorflow

Last synced: 17 Apr 2026

https://github.com/nafisalawalidris/machine-learning-with-python

Machine Learning with Python final project: Apply ML algorithms to solve real-world problem. Hands-on experience in data preprocessing, model selection, evaluation. Showcase ML proficiency in Python.

classification data-science hierarchical-clustering machine-learning regression scikit-learn-python scipy

Last synced: 20 May 2026

https://github.com/mohd-mb2205153/data-science-project

A data analysis project using Python to study climate patterns and genocide-related datasets from Gaza and the West Bank.

climate-change data-science matplotlib numpy palestine python3

Last synced: 05 Mar 2026

https://github.com/prernarohra/mental-health-prediction

This project focuses on predicting mental health outcomes using machine learning algorithms. By analyzing various psychological, social, and lifestyle factors, the model aims to identify individuals at risk, enabling early intervention and support.

data-analysis data-science data-visualization machine-learning mental-health python

Last synced: 20 May 2026

https://github.com/arose13/pylasso

An implementation of Lasso where each parameter penalty can be adjusted.

data-science lasso machine-learning machine-learning-algorithms

Last synced: 16 Apr 2026

https://github.com/jabhij/fbi_nics-firearm-background-checks

This project is a try to showcase the use of guns across the US.

data-analysis data-analytics data-science data-visualization tableau

Last synced: 23 Feb 2026

https://github.com/stephen-adwini-badu/12.-price-regression-project

This project involves conducting a comprehensive price regression analysis with the aid of sophisticated machine learning techniques. The aim is to develop accurate predictive models for estimating housing prices. The project encompasses data preprocessing, feature engineering, and rigorous model evaluation methods to ensure reliable predictions.

data-science jupyter-notebook machine-learning predictive-modeling regression-models

Last synced: 26 Mar 2025

https://github.com/ssandra102/car_sales_data_science_workflow

End to End Data science workflow for Car Price prediction

dagshub data-science mlflow mlflow-sklearn mlops-workflow

Last synced: 15 May 2026

https://github.com/nicomignoni/tiresia

Tiny sklearn-based AutoML tool.

automl data-science machine-learning sklearn

Last synced: 07 Feb 2026

https://github.com/nikhilxsunder/edgar-sec

A feature-rich python package for interacting with the US Securities and Exchange Commission API: EDGAR

data-science economics finance financial-data machine-learning securities-and-exchange-commission trading

Last synced: 14 Jan 2026

https://github.com/dularawijerathne/vehicle_price_prediction

Utilizing a Random Forest regression model, this project predicts car prices in Australia by analyzing essential features. Through meticulous data preprocessing and effective training, the model is refined for optimal accuracy. It excels in estimating prices based on brand, year, mileage, cylinders, and engine capacity.

data-science python random-forest-regression

Last synced: 04 May 2026

https://github.com/mgobeaalcoba/matplotlib_y_seaborn

Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.

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

Last synced: 13 Apr 2026

https://github.com/sapiensdata/sapiensdata-api

🚀 SapiensData API – A modern, scalable REST API built with ASP.NET Core and Entity Framework Core 🛠️. It powers financial insights and IoT data processing, providing a secure and efficient backend for the SapiensData platform

asp-net-core code-f data-science database linq rest-api tsql

Last synced: 08 Jan 2026

https://github.com/kinshuk-code-1729/data-visualisation-using-python

This Repository consists of several python snippets for creating Two-Dimensional (2D) Graphics

data-analysis data-science data-visualization matplotlib visualization

Last synced: 02 Jun 2026

https://github.com/eocode/software-development-and-data-science

Apuntes relacionados al desarrollo de software y tratamineto de datos

data-science docs jupyter-notebook math notes python r software-engineering sql

Last synced: 13 Apr 2026

https://github.com/stormsidali2001/plotlive

matplotlib pyplot code that runs in an interactive pygame window with pan, zoom and frame by frame animation

animation data-science data-visualization interactive-visualization machine-learning matplotlib plotting pygame-ce python visualization

Last synced: 16 Jul 2026

https://github.com/xuri/excelize-cs

Excelize is a C# port of Go Excelize library that allow you to write to and read from XLAM / XLSM / XLSX / XLTM / XLTX files.

agent ai chart csharp data-analysis data-science data-visualization excel excelize formula microsft office ooxml parser spreadsheet xlsm xlsx

Last synced: 03 Mar 2026

https://github.com/kacf/forex-trading-ai

Real‑time AI‑powered Forex trading alerts with High backtested accuracy, blending machine‑learning models and advanced technical analysis for 1 Minute buy/sell

algorithmic-trading api data-science deep-learning docker fastapi forex machine-learning python pytorch quantitative-finance real-time technical-analysis tensorflow trading-signals

Last synced: 26 Oct 2025

https://github.com/elvis-not-presley-one/animal-image-recognition-model

An Image Recognition Model That uses a Convolution Neural Network with Tensorflow to be able to tell an animal from a non-animal image

cnn convolution-neural-network data-science dataset image-classification image-recognition machine-learning neural-network python tensorflow

Last synced: 16 Apr 2026

https://github.com/pinedah/escom_high-performance-computing

This repository contains materials, notes, and projects for the High-Performance Computing (HPC) course in the Data Science degree at IPN. It covers the design and implementation of parallel computing, distributed systems, and GRID architectures to build high-performance computing systems.

cloud-computing data-science distributed-systems escom high-performance-computing hpc ipn parallel-computing school

Last synced: 02 Mar 2026

https://github.com/skywardai/paper_gallery

Papers gallery for using LLMs ability over dataset

ai data data-science llm medicine neural-network research security

Last synced: 19 Mar 2026

https://github.com/liblaf/cherries

🍒 Sweet experiment tracking with Comet, DVC, and Git integration.

automation data-science experiment-tracking git logging machine-learning monitoring neptune pydantic python

Last synced: 01 Jun 2026

https://github.com/vi/csvdimreduce

Command-line tool to run a dimensionality reduction algorithm on CSV files

cli command-line-tool csv csv-files data-science data-visualization dimension-reduction dimensionality-reduction

Last synced: 14 Apr 2025

https://github.com/tnleite/projeto_king_lift

Este projeto apresenta uma análise detalhada dos dados financeiros da King Lift, uma empresa de locação de empilhadeiras. Utilizando Microsoft Excel, Power Query e Power Pivot, desenvolvi um dashboard interativo, também em Excel, que ajuda a empresa a obter insights valiosos para melhorar a eficiência operacional e aumentar o faturamento.

data-analysis data-science data-visualization excel

Last synced: 19 Mar 2026

https://github.com/bayunova28/sas_viya_programming

This repository contains about my weekly projects from Big Data Analytics II course at my college

big-data-analytics big-data-projects data-science sas sas-viya

Last synced: 20 Mar 2026

https://github.com/shadan100/sales-prediction-analysis

The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.

artificial-intelligence data-analysis data-science django django-framework jupyter-notebook machine-learning matplotlib pandas predictive-modeling python sales-prediction

Last synced: 01 Mar 2026

https://github.com/hasansust32/heart_attack_predic_using_machine_learning_algorithm

This is my machine learning course work. I have collected this dataset from kaggle. There are 303 patient records with 14 features. I applied Exploratory Data Analysis methods and nine different machine learning models to predict the heart attack disease with this accuracy: XGBoost: 95.08% AdaBoost: 93.44% MLPClassifier: 93.44% Random Forest: 91.8% Gradient Boosting: 91.8% Logistic Regression: 90.16% SVM: 90.16% KNN: 88.52% Decision Tree: 81.97%. 

data-science machine-learning machine-learning-algorithms python random-forest

Last synced: 13 Apr 2026

https://github.com/arif-miad/student-performance-bd-analyzing-academic-outcomes-using-eda-hybrid-models

Develop and evaluate machine learning models using techniques such as Decision Tree, SVM, K-Nearest Neighbors, and K-Means clustering

data-science dicision-tree feature-engineering machine-learning matplotlib python seaborn sklearn svm

Last synced: 16 Apr 2026