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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/lucagiovannini7/msw

Notebooks for a web scraping & data visualization project revolving around cult show "Murder, She Wrote".

data-science nlp tv-series

Last synced: 19 May 2026

https://github.com/sukhitashvili/pca_tutorial

PCA algorithm from scrach, using only matrix-vector multiplications

data-analysis data-science data-visualization machine-learning-algorithms pca

Last synced: 29 Mar 2025

https://github.com/mariarodr1136/numdynamics

NumDynamics is an advanced random number generation system that combines C's performance with Python's analytical power. It generates, analyzes, and visualizes random numbers across various statistical distributions, offering a precise and efficient toolkit for random number analysis. 📊

algorithm-design c-programming data-science data-visualization histograms numerical-computing numerical-simulations probability-distributions python-scripts random-number-generator statistical-modeling statistics

Last synced: 04 Jul 2026

https://github.com/shuyib/london_weather_prediction

The London Weather Project aims to predict the mean temperature in London using historical weather data, involving data cleaning, feature engineering, and modeling with techniques like imputation, transformation, scaling, and the use of Mlflow for tracking model performance and hyperparameters.

data-cleaning data-lab data-science data-visualization datacamp-projects environmental-science feature-engineering forecasting jupyter-notebook machine-learning mlflow open-data python random-forest regression-analysis time-series weather-prediction

Last synced: 29 Mar 2025

https://github.com/zingarelli/alura_voz-data_science_challenge

Desafio Alura no tópico de Data Science: análise de Churn Rate para uma operadora fictícia de telecomunicações, a Alura Voz

alura alurachallengedatascience1 data-science python vitrinedev

Last synced: 19 May 2026

https://github.com/akashwav/fake-news-detection

📰 A complete NLP project that takes a news dataset, builds a highly accurate classification model, and deploys it as a live web application using Streamlit and GitHub.

data-science fake-news-detection machine-learning nlp nltk pandas python scikit-learn spacy streamlit text-classification

Last synced: 11 Apr 2026

https://github.com/drbenjamin/drbenjamin.github.io

Data Science courses Github Page.

data-science html

Last synced: 03 Feb 2026

https://github.com/rayvilaca/imersao-alura-dados-2

Análise dos dados da educação brasileira com Python para Data Science.

data-science imersaodados2 python

Last synced: 18 Apr 2026

https://github.com/lorennmarque/introduccion-a-modelos-lineales-en-r

En este trabajo analizamos el uso de modelos lineales y algoritmos de optimización con el lenguaje r

data-science eda linear-regression r regression

Last synced: 25 Mar 2025

https://github.com/shivaneuralnet/-airline-passenger-satisfaction-unsupervised-learning-project

Unsupervised learning project to cluster airline passengers based on satisfaction using KMeans and PCA. Includes feature engineering, visualization, and cluster evaluation.

clustering customer-segmentation-analysis data-science kernelpca kmeans pca unsupervised-learning

Last synced: 06 Jul 2025

https://github.com/dimits-ts/economic-connectedness-repl-study

Replication study for the recent "Social Capital II: determinants of economic connectedness" paper

data-science economics jupyter-notebook replication

Last synced: 06 Jul 2025

https://github.com/dpriskorn/trafikverkettrackswitch

Projekt för att analysera relevant statistik om Trafikverkets 46k+ växlar

analysis data-science geopandas statistics trafikverket

Last synced: 06 Apr 2025

https://github.com/kingg1122/wireshark-report-ia

Análisis de tráfico de red usando Wireshark y K-means en Python. Clasificación de paquetes en clusters y generación de informes automatizados.

clustering cybersecurity data-science machine-learning network-analysis network-securia network-security pcap-analysis python wireshark

Last synced: 14 Jun 2025

https://github.com/mugambi645/data-science---neural-networks

Experiment with various machine learning and neural network architechtures using Keras,pytorch and python

data-science machine-learning neural-networks

Last synced: 13 Apr 2026

https://github.com/aunshx/device-fingerprinting

Utilizing Machine Learning and Optimal Hashing to develop unique device fingerprints

data-science fingerprinting ml networking security

Last synced: 14 Jun 2025

https://github.com/isaqueiros/newspapersales-predictions-linearregression_and_regularisation

This notebook is a study on the sales of newspapers of a local stand, with intention to predict the newspaper sales performance based on the different features available. For this, 4 sklearn models are applied: Linear Regression, Lasso Regression, Ridge Regression and Elastic Net Regression.

data-analysis data-science linear-regression machine-learning python regularization-methods sklearn-library sklearn-linear-regression

Last synced: 02 May 2026

https://github.com/notthestallion/data_preparation_4_ml_algorithm

This project will focus on data preparation and will follow the steps : data cleaning, handling text and categorical attributes, and feature scaling.

data-cleaning data-preparation data-preprocessing data-science feature-scaling ml onehot-encoder onehot-encoding

Last synced: 30 May 2026

https://github.com/bottomsnode/sct_ml_3

This repository contains code for classifying images of cats and dogs using a Support Vector Machine (SVM) classifier. The features for the classification are extracted using a pre-trained VGG16 model.

data-science deep-learning kaggle-dataset keras-tensorflow machine-learning opencv-python svm-classifier

Last synced: 06 Jul 2025

https://github.com/bertiewooster/ipywidgets

Interactive data visualizations in a Jupyter Notebook per tutorial https://python.plainenglish.io/interactive-visualizations-with-pandas-seaborn-and-ipywidgets-173e5d7d6a5e

data-analysis data-science data-visualization ipython-notebook ipywidgets juypter-notebook python

Last synced: 06 Mar 2026

https://github.com/jabulente/geospatial-data-visualizations-tanzania-s-administrative-geographic-and-socioeconomic-landscape

This repository showcases geospatial data visualizations focused on Tanzania's administrative boundaries, geographic features, and selected socioeconomic indicators. Using GeoPandas, Matplotlib, and other geospatial libraries, the project provides static and customizable maps of regions, districts, and population distributions.

ai data-science data-visualization geopandas geospatial-analysis geospatial-visualization machine-learning oops python tanzania tanzania-locations

Last synced: 29 Jul 2025

https://github.com/as2811-project/au-elec-data-pipeline

A Kafka data pipeline to fetch data from an API and store it in a Postgres database

aws-ec2 data-science kafka postgres supabase

Last synced: 08 May 2026

https://github.com/evandroamparo/estudos-python

Seção de introdução ao Python do curso Machine Learning e Data Science com Python https://www.udemy.com/machine-learning-e-data-science-com-python/

data-science jupyter-notebook machine-learning python

Last synced: 06 Apr 2025

https://github.com/omar7001-b/data-miner

DataMiner is an interactive web application for data mining and machine learning. It helps users upload, clean, transform, and analyze datasets while building predictive models — all through a simple and powerful Streamlit interface.

data-cleaning data-mining data-preprocessing data-science data-visualization interactive-dashboards pandas python scikit-learn streamlit

Last synced: 28 Apr 2025

https://github.com/jabulente/tanzania-geographical-zones

This project provides a geospatial visualization of Tanzania's geographical zones and regions. It uses geospatial data to map each zone, display regions, and annotate them for easy identification. The visualizations include simulated data to demonstrate thematic mapping techniques.

ai data-analysis data-science data-visualization geopandas geospatial location matplotlib ml python tanzania tanzania-geographic tanzania-locations

Last synced: 19 May 2026

https://github.com/emircanakyuzz/logistic_regression_ile_tahmin-estimating_with_logistic_regression

Çeşitli şirketlerin yaptığı harcamaları makine öğrenmesi algoritmalarından biri olan logistic regression kullanarak sınıflandırmaya çalışıyoruz. Eğittiğimiz model ile şirketlerin gelecek yıllardaki harcamalarının hangi alana ait olduğunu tahmin ediyoruz (sınıflandırıyoruz) ve performansını değerlendiriyoruz.

artificial-intelligence data-science data-visualization jupyter-notebook logistic-regression machine-learning prediction

Last synced: 29 Mar 2025

https://github.com/nonabelian/leapy

BETA: Real-time inference from scalable machine learning in Python

dask dask-ml data-science inference machine-learning pipeline pipelines real-time realtime

Last synced: 14 Jan 2026

https://github.com/mightymetrika/holi

holi: Higher Order Likelihood Inference Web Applications

data data-science r statistics

Last synced: 10 Feb 2026

https://github.com/mimi-netizen/python-and-machine-learning-in-financial-analysis

This comprehensive repository covers financial data analysis using Python and machine learning techniques, including time series modeling, portfolio optimization, risk assessment, credit risk prediction, and deep learning applications in finance.

data-analysis data-science data-visualization finance financial-analysis financial-data financial-modeling

Last synced: 19 May 2026

https://github.com/nickenshidqia/predict_worker_absenteeism_using_logistic_regresssion

Build a machine learning model that can predict the causes of absenteeism

absenteeism data-science logistic-regression machine-learning

Last synced: 10 Apr 2025

https://github.com/gauravcodepro/diff-alternative-data-structure-r

I read this post today and they mentioned the diff which i have used a lot in R but i want to put this git just to show that you can also do this from a data structure point of view

data-science data-structures r rdataframe rprog rprogramming

Last synced: 17 Aug 2025

https://github.com/sotoblanco/datascience

Projects that show my skill in the data science field

data-science machine-learning portfolio python r regression sql trading

Last synced: 06 May 2026

https://github.com/thomas-basham/ps-creel

This web application fetches fishing report data from the Washington Department of Fish and Wildlife (WDFW) Creel Reports page and displays it on an interactive map.

creel creel-survey data-science data-visualization database fish fishing nextjs postgresql puget-sound-data pugetsound react sql website

Last synced: 13 Apr 2026

https://github.com/meng2468/neural-risk-prediction

A repository for MLP-based approaches to risk prediction, specifically on EHR data for patients that underwent sepsis

data-science ehr machine-learning

Last synced: 17 Mar 2025

https://github.com/huucanh0511/startup-profitability-prediction

This project predicts startup profitability using Logistic Regression and Random Forest, analysing financial (funding amount, funding rounds, revenue), market (market share), and operational (startup age, employee count) factors. It evaluates AUC, accuracy, precision, recall, and F1-score, addressing underfitting, overfitting, and feature selection

ai-for-finance data-science financial-modelling logistic-regression machine-learning predictive-analytics python random-forest scikit-learn startup-analysis

Last synced: 19 May 2026

https://github.com/divya19gupta/health-insurance-churn

This repository contains the code, data pipeline, and results for the study "Causal Analysis of Member Switching in German Health Insurance", which combines predictive modeling and causal inference to understand how additional contributions (Zusatzbeiträge) affect member churn in Germany’s statutory health insurance (SHI) system from 2016 to 2025.

data-science python

Last synced: 26 Jun 2025

https://github.com/sandialabs/easee

A repository for demonstration code to identify appropriate graph interval sizes from communication streams.

data-science graphs python sampling scr-2509 snl-data-analysis

Last synced: 15 Jun 2026

https://github.com/tushar2704/patient_survival_prediction

Getting a rapid understanding of the context of a patient’s overall health has been particularly important during the COVID-19 pandemic as healthcare workers around the world struggle with hospitals

artificial-intelligence data-science deep-learning predictive-modeling python tushar2704

Last synced: 01 May 2026

https://github.com/oanderoficial/dashboard_ibovespa

Dashboard feito em python utilizando a biblioteca streamlit

data-science dataframe dataset ibov ibovespa pandas plotly python streamlit

Last synced: 13 Apr 2026

https://github.com/legolasvzla/r_analisis-de-redes-sociales

Data science project done at Central University of Venezuela (2016), related with the subject Introduction to the Data Science: social network analysis

data-science r

Last synced: 17 Mar 2025

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

A collection of data science projects ranging from exploratory data analysis to predictive modeling and clustering. Each project is designed to solve specific problems or explore particular datasets using various data science techniques and tools.

data-analysis data-analysis-python data-cleaning data-science data-visualization machine-learning machine-learning-algorithms

Last synced: 14 May 2025

https://github.com/william-zhan-bot/lec_2024summer_winner_prediction

以 機器學習 對 英雄聯盟2024LEC夏季賽數據 進行勝率預測與團隊資訊、選角進行檢驗

data-science league-of-legends lol machine-learning prediction python

Last synced: 01 May 2026

https://github.com/oceanuz/car-price-regression

A comprehensive ML evaluation and improvement notebook for a car price prediction model. It includes topics such as scoring with r2, cross-validation, overfitting/underfitting diagnosis, and polynomial regression. *Ridge regression* is applied to reduce overfitting, and (GridSearchCV) techniques are used to find the best alpha hyperparameter.

cross-validation data-science grid-search hyperparameter-tuning machine-learning machine-learning-models model-evaluation overfitting python regression ridge-regression scikit-learn

Last synced: 11 Dec 2025

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

Various data science projects. Any project sufficiently large will be moved to its own repo.

data-science python

Last synced: 01 Mar 2025

https://github.com/magnuss0/cardio-good-fitness

Predicting Customer Product Preference

data-science machine-learning

Last synced: 19 May 2026

https://github.com/ma-fi-94/letters

An 'end to end' data science project analysing the letters between two German poets. Includes a simple scraper for getting raw data, data cleaning, preprocessing, analysis and visualisation.

bag-of-words beautifulsoup4 data-science goethe jupyter-notebook keras keras-tensorflow letters natural-language-processing python3 schiller web-scraping

Last synced: 06 May 2026

https://github.com/anjaliid/bangalore-aqi-prediction-and-forecasting-ai

Deep learning-based Air Quality Index forecasting for Bangalore using GRU neural networks. Predicts AQI for the next 7 days with 70% accuracy (R²=0.70). Built with TensorFlow/Keras.

air-quality air-quality-index data-science deep-learning environmental-data gru gru-neural-network keras machine-learning tensorflow time-series-forecasting

Last synced: 19 Apr 2026

https://github.com/heitor57/astronomy-news

:telescope::newspaper: Astronomy News

crawler data-science news text-mining

Last synced: 06 Oct 2025

https://github.com/dibsthegreat/titantic-dataset-analytics

DASC4850 Final Project where I did EDA to determine the survivability of Titanic guests depending on Age, Gender, Wealth, etc.

data-science data-visualization matplotlib numpy pandas python random-forest-classifier

Last synced: 13 Apr 2026

https://github.com/anastasius21/covid-19-data-analysis

This repository contains Python scripts for analyzing COVID-19 cases and deaths using Pandas and Matplotlib. It provides visualizations in the form of pie charts for both worldwide and country-specific COVID-19 statistics.

covid-19-data covid-19-data-analysis covid-19-trend data-science python

Last synced: 19 Apr 2026

https://github.com/dnut/associations

Python 3 library to identify high-dimensional statistical relationships in any data set.

analytics arch-linux association-rules data data-analysis data-mining data-science machine-learning python-modules

Last synced: 01 May 2026

https://github.com/swatisinghit/treadmill-customer-profiling-for-aerofit

Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.

analytics conditional-probability data-analysis data-science data-visualization eda numpy pandas probability statistics

Last synced: 08 May 2026

https://github.com/cliffordnwanna/microsoft_malware_prediction

With this project, I explored how machine learning can enhance malware detection and prediction. The insights gained from both supervised and unsupervised techniques can be used to develop more robust and accurate cybersecurity solutions.

algorithms cybersecurity data-science decision-trees kmeans-clustering machine-learning supervised-machine-learning unsupervised-machine-learning

Last synced: 25 Jun 2025

https://github.com/rynanda/cains-jawbone-analysis

An analysis of the Cain's Jawbone murder mystery puzzle using data science methods.

data-manipulation data-science ethics-frameworks jupyter-notebook python

Last synced: 18 May 2026

https://github.com/animesh-sh/Customer-Churn-Prediction-2020-Competition---96-percent-Accuracy

This competition was about predicting whether a customer will change telecommunications provider, something known as "churning". My Machine Learning model was 96.3% accurate in predicting the customer churn. I have followed the complete lifecycle of data science project - Data Collection(from kaggle), Exploratory Data Analysis, Feature Engineering, Model Building, Hyperparameter Tuning and Model Evaluation.

churn-prediction classification data-science kaggle machine-learning

Last synced: 22 Oct 2025

https://github.com/cyyeh/cs109-data-science

Harvard 2015 data science course

data-science

Last synced: 16 Jan 2026

https://github.com/gui-sitton/games

Identify patterns that determine whether a game is successful or not. This will allow you to identify potential big winners and plan advertising campaigns.

data data-analysis data-analysis-python data-science data-visualization python

Last synced: 18 May 2026

https://github.com/18mahi/tweet-sentiment-analysis

Classify tweets into happy, sad, angry, excited, and neutral with this interactive Python model. Combining TF-IDF text features with engineered numeric features like emoji sentiment, polarity, subjectivity, and punctuation counts, it demonstrates intermediate-level NLP, feature engineering, and visualization skills.

data-science data-visualization jupyter-notebook machine-learning matplotlib nlp numpy pandas sklearn string textblob

Last synced: 30 Apr 2026

https://github.com/samaalharbi2/sdaia-t5-bootcamp

Sdaia T5-BootCamp: Data Science and Artificial Intelligence

ai data-science sdaia-academy t5

Last synced: 05 Apr 2025

https://github.com/mrandri19/polito2020-data-science-lab

Homework for Data Science Lab: Process and Methods (2020/2021)

data-science python

Last synced: 14 Apr 2026

https://github.com/omarsolieman/socialgiveawaydataanalysis

This project involved cleaning, analyzing, and processing data from an Instagram giveaway to ensure a fair and data-driven winner selection process. The primary goal was to automate the process of identifying valid entries, weighting them based on engagement (likes and multiple entries), and performing a post-giveaway analysis

data-analysis data-science data-visualization instagram scraping threejs

Last synced: 14 May 2026

https://github.com/jasontanx/machine-learning-employee-attrition

An employee attrition prediction (machine learning) project

data-science employee-attrition machine-learning rprogramming

Last synced: 08 Oct 2025

https://github.com/shubhamsoni98/classification-with-random-forest-1

To classify sales into categories (Low, Moderate, High) using Random Forests to inform strategic decisions and optimize marketing strategies.

algorithms anaconda data data-science datacleaning eda jupyter-notebook machine-learning pyhton random-forest scikit-learn visualization

Last synced: 18 Jan 2026

https://github.com/akashash01/artificial_neural_network

It is an network of neurons that make up a human brain, so that machine can able to learn things and make decision like humans. This deep learning model is more flexible for regression and classification problems(linear & non-linear), susceptible to overfitting.

data-science datavisualization deep-learning deep-neural-networks python

Last synced: 21 Jul 2025

https://github.com/corneliustanui/statsreporter

An interactive shiny-based data analysis tool.

data-science dataanalysis dataanalytics r shiny shiny-apps

Last synced: 09 Oct 2025

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

🐍 Following "Python for Data Science" Book Exercises

data-science

Last synced: 25 Jun 2025

https://github.com/kaijagahm/2023-10-20-stlzoo

Data Carpentry workshop, hosted at the St. Louis Zoo. Beta testing the new ecology data lesson.

data data-science ecology r rstudio

Last synced: 05 Feb 2026

https://github.com/gauravsy704/sct_ds_2

Performed data cleaning and exploratory data analysis (EDA) on the Titanic dataset from Kaggle. Investigated the relationships between variables and identified key patterns and trends in the data using Python, with a focus on survival rates, passenger demographics, and embarkation details.

data-science data-visualization jupyter-notebook pandas python seaborn

Last synced: 06 May 2026

https://github.com/vbhvsingh0/fraudulent_transactions

A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions

credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier

Last synced: 09 May 2026

https://github.com/khalidkhankakar/sql-for-datascience

This repository is your all-in-one resource to learn and apply Structured Query Language (SQL) specifically for data analysis, business intelligence, and data science workflows.

data-science database datacleaning mysql mysql-database sql

Last synced: 01 May 2026

https://github.com/gojoel/brockton-data-analysis

Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.

data-science exploratory-data-analysis geopy machine-learning matplotlib numpy pandas seaborn

Last synced: 09 May 2026

https://github.com/ianhaggerty/final-capstone

This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.

amazon data-analytics data-science data-visualization dataset matplotlib nlp nlp-machine-learning numpy pandas plotly reviews seaborn spacy tabulate textblob wordcloud

Last synced: 19 Jan 2026

https://github.com/annaanastasy/regression-project-flood-prediction

This project uses machine learning regression models to predict flood risks based on environmental and historical data, employing techniques such as linear regression, polynomial regression, SGDRegressor, and XGBoost for accurate flood prediction.

data-preprocessing data-science data-visualization feature-engineering machine-learning-algorithms regression xgboost-regression

Last synced: 05 Apr 2025

https://github.com/loaiwalid07/automation_data_overviwe

This is Streamlit app that gives an overview for a dataset you upload

automation data data-analysis data-exploration data-science data-transformation data-visualization

Last synced: 19 May 2026

https://github.com/nidhi-kekatpure/churn-prediction-for-subscription-customers

End-to-end customer churn prediction using AWS SageMaker, XGBoost, and Python - complete ML pipeline from data generation to real-time inference with 79% AUC score.

aws business-intelligence data-science data-visualization jupyter-notebook predictive-analytics

Last synced: 16 May 2026

https://github.com/chandkund/housing-price-prediction

Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics

Last synced: 21 Jan 2026

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