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/rafaelbroseghini/data-analysis-visualizations-ml

:bar_chart: NLP, Regression Models, Story telling, Time Series Analysis ... in Python

data-analysis data-science machine-learning machine-learning-algorithms time-series visualization

Last synced: 03 Oct 2025

https://github.com/k0l4s/pythonprogramming

This is made to submit Python Programming's project.

data-science matplotlib matplotlib-pyplot python

Last synced: 11 Aug 2025

https://github.com/florentf9/supgalilee-tdstats

TD de statistiques descriptives : Introduction à Python pour la Data Science

course data-science python statistics statistiques-descriptives

Last synced: 19 Aug 2025

https://github.com/holgerbrandl/data_science_with_kotlin

Sources and slides of my KotlinConf2018 presentation about data-science with kotlin

data-science data-visualization java kotlin

Last synced: 18 Apr 2026

https://github.com/lebrancconvas/big-music-hit

(WIP) Using Machine Learning in Web Application for recommeding songs based on user's activities.

college-project coursework data-science machine-learning personal-project recommendation-system web-application web-development web-programming

Last synced: 03 Jan 2026

https://github.com/jbeno/datawaza

Data science tools for exploration, visualization, and model iteration.

data-science dataviz machine-learning matplotlib pandas scikit-learn seaborn

Last synced: 24 Jul 2025

https://github.com/methyldragon/knowledge-hoard

Manifold disparate and esoteric concepts, easily found and concisely explained 📖🐲🔥

computer-science computer-vision data-science engineering machine-learning math mathematics notes

Last synced: 04 Jan 2026

https://github.com/amirreza81/applied-data-science-course

Comprehensive notes, practical exercises, and problem-solving solutions from the Applied Data Science course, covering data preprocessing, machine learning algorithms, statistical analysis, data visualization, and real-world applications.

accuracy-measure boosting classification data-cleaning data-preprocessing data-science data-visualisation deep-learning dimensionality-reduction eda feature-engineering image-classification imbalanced-data kaggle-dataset machine-learning multiclass-classification pandas regression scikit-learn stroke-prediction

Last synced: 22 Mar 2025

https://github.com/analitico-771/machine_learning_index_prediction

This application compares the performance of Unsupervised machine learning models and Supervised models. It downloads 3 yrs of market daily close data from all SP500 companies and divides them into Sectors to be used as features for learning and training the data, in order to predict wether the index will be a Buy or Sell the next day. The results are evaluated to determine each model's performance and the metrics are presented along with the analysis.

alpaca-trading-api data-science deep-learning fintech machine-learning neural-network pandas-dataframe python quantitative-finance random-forest-classifier scikit-learn sp500-data-analysis

Last synced: 26 Feb 2026

https://github.com/itsleeds/introds

Introduction to data science for transport planners

data-science short-course teaching-materials transport transport-planning

Last synced: 13 Jan 2026

https://github.com/olucaslopes/puc

Academic activities and notes from my graduation in Data Science and Artificial Intelligence at PUC-SP

ciencia-de-dados college data-science lecture-notes puc-sp

Last synced: 23 Mar 2025

https://github.com/advestis/adnmtf

Non-Negative Matrix and Tensor Factorizations

data-completion data-science dimensionality-reduction machine-learning matrix nmtf

Last synced: 15 May 2025

https://github.com/bala-1409/price-prediction-for-used-cars-datascience-project

This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.

adaboost-regressor data-science kaggle-dataset machine-learning price-prediction regression regression-model supervised-learning used-cars-price-prediction

Last synced: 22 Mar 2025

https://github.com/omkarpattnaik8080/numpy01

Learning Numpy library

data-science numpy

Last synced: 07 May 2026

https://github.com/multimeric/afltablesscraper

A python scraper for the AFL Tables website

data-science scraper

Last synced: 14 Aug 2025

https://jared-fowler.github.io/prettyglm/

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.

classification classification-model data-science data-visualization glm linear-models r r-package regression regression-analysis regression-model regression-models rstats rstats-package statistical-models

Last synced: 25 Nov 2025

https://github.com/ctsrc/mdrun

Runs command-line pipelines embedded in Markdown and CommonMark documents. Keeps your authored docs up to date. Even usable as an alternative to IPython notebooks.

abstract-syntax-tree ast commonmark computer-science data-science devops iac infrastructure-as-code markdown qa quality-assurance software-development software-engineering sre technical-writing writing-tool

Last synced: 02 Aug 2025

https://github.com/sayakpaul/patients-conversation-detector

Contains my experiments for ZS's hiring hackathon (II).

data-science keras machine-learning nlp python scikit-learn text-classification

Last synced: 23 Apr 2025

https://github.com/bastianolea/casen_comparador_ingresos

Aplicación web para generar gráficos que comparan distribuciones de ingreso de las comunas de Chile mediante gráficos de densidad

casen chile data-science data-visualization ingresos

Last synced: 01 Apr 2025

https://github.com/marwan116/aws-parquet

a toolkit that provides an object-oriented interface for working with parquet datasets on AWS

amazon-athena apache-arrow apache-parquet athena aws aws-glue data-engineering data-science etl glue-catalog pandas python

Last synced: 12 Jun 2025

https://github.com/mohd-faizy/feature-engineering-handbook

This repository contains a collection of hacks and tips for feature engineering. It is a great resource for anyone who wants to learn how to improve the performance of their machine learning models.

chi2 data-science feature-engineering feature-extraction feature-selection machine-learning rfe rfecv

Last synced: 30 Jan 2026

https://github.com/pottekkat/teachable-machine

A teachable image classifier that runs on any browser built using TensorFlow JS

computer-vision data-science deep-learning image-processing machine-learning tensorflow tensorflow-js

Last synced: 29 May 2026

https://github.com/public-health-scotland/knowledge-base

Web app for PHS staff to access training and guidance resources and social content related to Data Science.

data-science public-health social training web

Last synced: 05 Jul 2025

https://github.com/strvcom/ds-academy

Home for materials used during the STRV Data Science Academy.

course course-materials data-science machine-learning python

Last synced: 09 Apr 2025

https://github.com/chetan6780/ml-training

45 Days Machine learning and data-science training Q&A and assignments.

data-science machine-learning python

Last synced: 13 May 2026

https://github.com/georgiosioannoucoder/fervi

Facial Expression Recognition on Video and Image (FERVI) is an open-source project created for the Data Science track for the program CUNY Tech Prep (CTP) in Cohort 8. 📷

classification cnn-model data-science emotion emotion-detection emotion-recognition facial-expression-recognition image-classification image-emotion-classification machine-learning opencv

Last synced: 07 Sep 2025

https://github.com/imprv-ai/date-a-scientist

Query dataframes, find issue with your notebook snippets as if a professional data scientist was pair coding with you. Currently just a thin wrapper around an amazing library called pandas-ai by sinaptik-ai!

data-science dataframes notebook-jupyter pandas pandas-ai

Last synced: 06 Oct 2025

https://github.com/bts-cm/airdrop_tool

Fetch & analyse blockchain tickets. View leaderboards and user tickets. Calculate and perform provably fair airdrops.

airdrop bitshares bitsharesjs blockchain crypto data-analysis data-science electron etl javascript nodejs react ticket tusc

Last synced: 17 Jan 2026

https://github.com/mo-karbalaee/neural-network-course-sbu

Transcription and all the documentations about the neural network course held at SBU

artificial-intelligence data-science neural-network shahid-beheshti-university

Last synced: 08 Feb 2026

https://github.com/nhsdigital/sde_example_analysis

Example of what you can do in Databricks in the Secure Data Environment (SDE) using Python, SQL, and R.

data-analysis data-science databricks-notebooks machine-learning mlflow

Last synced: 25 Oct 2025

https://github.com/coatless-py-pkg/pybabynames

Python port of the R data package {babynames} with support for either Pandas or Polars data being loaded.

data-package data-science pandas polars python python-data-package python3

Last synced: 03 Mar 2026

https://github.com/cmhac/enforce-notebook-run-order

Pre-commit hook to force Jupyter notebooks to be run in the correct order

data-science jupyter-notebooks pre-commit

Last synced: 02 Mar 2026

https://github.com/crsl4/methods-bio-data-workshop

Methods for Biological Data Workshop (UW-Madison)

bioinformatics computational-biology data-science

Last synced: 18 Mar 2026

https://github.com/avidlearnerinprogress/pandas-numpy-101

Everything about Pandas, NumPy you wanted to know

data-science jupyter-notebook pandas python

Last synced: 06 May 2026

https://github.com/pinedah/escom_analysis-and-design-of-algorithms

This repository contains resources for IPN's Analysis and Design of Algorithms course, focusing on algorithm selection, complexity analysis, and design strategies. Topics include deterministic and non-deterministic methods, plus an introduction to complexity theory. Key texts include "Introduction to Algorithms" and "The Algorithm Design Manual."

algorithms algorithms-design college data-science data-structures-and-algorithms escom ipn par-de-tres

Last synced: 12 Feb 2026

https://github.com/jhorzek/tablespam

Export tables from python to Excel, HTML, LaTeX, and RTF the easy way.

data-science excel html latex polars python reporting tables

Last synced: 02 Mar 2026

https://github.com/sdam-au/li_etl

Deduplicated and enriched merge of the EDH and EDCS dataset

data-science dataset machine-learning pandas python

Last synced: 10 Feb 2026

https://github.com/udityamerit/python-librearies-for-data-science

Python libraries for data science enable efficient data manipulation, analysis, and modeling. Key libraries include NumPy for numerical computing, pandas for data handling, Matplotlib for visualization, Scikit-learn for machine learning, TensorFlow for deep learning, and BeautifulSoup/requests for web scraping. These libraries simplify complex data

beautifulsoup data data-science data-science-libraries machine-learning matplotlib numpy pandas requests scikit-learn scikitlearn-machine-learning tensorflow

Last synced: 06 Feb 2026

https://github.com/imgabreuw/modelo-titanic

Modelo feito em Python para prever possíveis sobreviventes do Titanic.

data-science model-predictive-control python

Last synced: 30 Apr 2026

https://github.com/elagoht/squirrel

Lightweight python module for 2 dimensional data managing, storing and manipulation (with regex support).

2d-arrays 2darrays array data-science database float integer list storage string

Last synced: 28 Apr 2026

https://github.com/giagiannis/data-profiler

Data profiler is an attempt to model the behavior of a given operator for a set of datasets.

bhattacharyya-coefficient data-modeling data-profiling data-science dataset machine-learning similarity-matrix

Last synced: 14 Feb 2026

https://github.com/alexlouden/data-science-talk

Talk at Perth Python Data Science meetup on 2017/10/2

data-science data-science-notebook python slides talk

Last synced: 02 May 2026

https://github.com/aianytime/recommendation_system_implementation

Complete concepts behind implementing a Recommendation System using Association Rules, Collaborative Filtering, and Matrix Factorization.

collaborative-filtering data-science machine-learning matrix-factorization python recommender-system scikit-learn

Last synced: 28 Apr 2026

https://github.com/divyanshugit/kaggle-titanic-machine-learning-from-disaster

A machine learning model that predicts which passengers survived the Titanic shipwreck.

data-science machine-learning machine-learning-algorithms random-forest scikit-learn svm

Last synced: 26 Apr 2026

https://github.com/drkenreid/introductory-data-science

Hands-on machine learning tutorials in Google Colab, covering various algorithms and techniques for learners at different levels.

cnn data data-science deep-learning learning-datascience learning-machine-learning learning-python neural-network neural-networks regression rnn science tutorial tutorial-exercises tutorials

Last synced: 28 Jan 2026

https://github.com/omarsar/energy_stats

Analyzing energy production with Kibana Lens

data-analysis data-science data-visualization elasticsearch kibana

Last synced: 29 Apr 2026

https://github.com/muzk/desafio-latam-ds-python

Solución Desafios curso Data Science de Desafio Latam - https://desafiolatam.com/data-science/

data-science python

Last synced: 30 Apr 2026

https://github.com/cworld1/da-learning

Some notes and code about CWorld learning Data Analysis

data-analysis data-science jupyter-book jupyter-notebook python r

Last synced: 18 Apr 2026

https://github.com/kingyiusuen/travelers-insurance-fraud

Detect fraudulent insurance claims using machine learning

data-science end-to-end-machine-learning flask machine-learning scikit-learn

Last synced: 18 Apr 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/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/chicolucio/portfolio-data-science

Portfolio presenting my projects and achievements as a Data Scientist.

data-science data-visualization machine-learning portfolio

Last synced: 27 Feb 2026

https://github.com/raveriss/ft_linear_regression

Implémentation d’un algorithme de machine learning : régression linéaire avec descente de gradient. Le projet prédit le prix d’une voiture selon son kilométrage, avec entraînement (θ0, θ1) sauvegardé en JSON, prédiction en CLI, visualisation, tests, CI/CD et outils qualité.

42 42-school 42paris 42school ci-cd codecov data-science ft-linear-regression github-actions gradient-descent linear-regression linear-regressions machine-learning mutmut pre-commit pytest python3 ruff

Last synced: 15 Apr 2026

https://github.com/vaibhavpandeyvpz/inpher

PHP console application to automate work with structure data using OpenAI (or LLMs to be specific)

ai chatgpt cli console data-science function-calling llm openai

Last synced: 12 Feb 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/saranshbansal/spam-detection-analytics-tool

This is a nice tool to read chunks of sms data from a csv and understand how different algorithms (pre-implemented) perform in identifying spam messages.

analytics data-analysis data-science data-visualization mysql spring-boot

Last synced: 01 May 2026

https://github.com/varunbanka/food-vision

This project involves the creation of a food vision model using TensorFlow and EfficientNetB0 as the base model. The model is trained on the CIFAR-100 dataset, which contains 100 classes of images.

ai computer-vision data-science deep-learning food-vision machine-learning tensorflow

Last synced: 19 Apr 2026

https://github.com/quantumudit/analyzing-yell-cafes

This project focuses on scraping data related to cafes and coffee shops in London, England from the Yellow Pages (Yell.com) 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: 02 May 2026