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/danilo-01-code/linear_regression_from_scratch

This project implements a Linear Regression from scratch using Numpy and Matplotlib. The goal is to help students and data professionals understand the inner workings of machine learning models.

backend data-science machine-learning machine-learning-algorithms python3

Last synced: 31 Mar 2025

https://github.com/alemalvarez/data-analysis-web-project

Web-app providing a simple interface for data storage,

data-analysis data-science javascript react webapp

Last synced: 29 Apr 2026

https://github.com/santoshn86/pune_house_price_prediction

This is an end-to-end project wehre I have used dataset of Pune city to make house price prediction using linear regreesion.

data-science flask-server jupyter-notebook machine-learning python vscode webtechnologies

Last synced: 29 Apr 2026

https://github.com/erycastro/safelimit

Credit limit increases via deposits + PD (logistic + calibration) · Streamlit demo

acessibility credit-risk dashboard data-science fintech python sklearn streamlit

Last synced: 29 Apr 2026

https://github.com/aditya-ranjan1234/interactive-salary-prediction-with-machine-learning

A Streamlit web application for exploring the UCI Census Income dataset, training machine learning models, and predicting employee salaries.

data-science machine-learning prediction python scikit-learn streamlit xgboost

Last synced: 29 Apr 2026

https://github.com/gandhasiri-rahul-mohan/decesion-tree-q1-company_data

Problem Statement: A cloth manufacturing company is interested to know about the segment or attributes causes high sale.

data-science decision-trees machine-learning python

Last synced: 08 Jun 2026

https://github.com/ralstonraphael/water_access_ml_project

This project analyzes life expectancy data from the World Health Organization (WHO), sourced from Kaggle. The dataset spans 183 countries across 6 regions, covering metrics such as life expectancy, mortality rates, healthcare access, and socioeconomic factors.

data-science machine-learning numpy pandas python

Last synced: 29 Apr 2026

https://github.com/marcelo-earth/DSRP-Webscraping-algorithms

💻🕷 Development of Python scrapers for Peru main newspapers

data-science news requests volunteering webscraping

Last synced: 20 Oct 2025

https://github.com/onome-joseph/customer-churn-prediction

This project predicts whether a customer is likely to stop patronizing a business by making use of historical customer data.

artificial-neural-networks churn-prediction data-science streamlit-webapp xgboost-classifier

Last synced: 20 Oct 2025

https://github.com/mohamedhany99/collecting-sound-features-frequency-from-an-audio-file-and-save-it-in-excel

This script takes a single audio file and collect all the sound features in it including (Frequency - mean - variance - minimum value - maximum value - Median - Kurtosis - Skewness) and save it in an array and import this array in a row in the datasheet.

automation data-analysis data-science dataset-generation excel-import signal-processing

Last synced: 18 Apr 2026

https://github.com/michael-insights/portfolio

This repository showcases my projects and skills in Data Analytics, Data Science, and Machine Learning. It includes hands-on work in data analysis, predictive modeling, and machine learning algorithms, aimed at solving real-world problems.

data-analytics data-science data-visualization datapreprocessing jupyter-notebooks machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn sql

Last synced: 11 Apr 2026

https://github.com/arhcoder/netflix-opinions-analysis

🗯️ Web Scraping, Logistic Regression and Natural Language Processing techniques to analyze the opinions of Netflix service through Data Mining.

costumer-service costumer-service-levels data-mining data-science logistic-regression natural-language-processing netflix python scraping sentiment-analysis web-scraping

Last synced: 30 Apr 2026

https://github.com/concaption/simple-stock-app

A simple streamlit app for displaying stock price.

data-science streamlit

Last synced: 30 Apr 2026

https://github.com/fatihilhan42/stock-market-analysis-with-pandas-python

Hello, today I will tell you the details of the stock market analysis project with python.

data-science data-visualization stock-market

Last synced: 23 Mar 2025

https://github.com/anyantudre/binary-classification-with-a-bank-churn-dataset

For this Episode of the Series, our task is to predict whether a customer continues with their account or closes it (e.g., churns).

churn-prediction data-science kaggle kaggle-competition machine-learning

Last synced: 01 May 2026

https://github.com/scarblase/salary-comparison

Submission for the DataCamp Salary Competition(1 level). 🏆

data data-analysis data-science data-visualization engineering python sql structured-data

Last synced: 01 May 2026

https://github.com/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 27 Feb 2025

https://github.com/flazefy2/ds-airplane_crashes_dataset_since_1908

https://www.kaggle.com/datasets/landfallmotto/airplane-crashes-dataset-since-1908

csv data-science jupyter-notebook python statistics

Last synced: 01 May 2026

https://github.com/winter000boy/breast-cancer-prediction-using-ml

Breast Cancer Detection Using Machine Learning is a project that applies machine learning algorithms to identify and classify breast cancer as malignant or benign based on medical data. By analyzing patterns in tumor features, this model supports early diagnosis and enhances decision-making in medical diagnostics.

data-science data-structures deep-learning flask-application machine-learning neural-network python3 web-development

Last synced: 01 May 2026

https://github.com/flyersworder/analytics-env

A standardized analytics environment template with pre-configured tooling for data science, LLM integration, and document processing

analytics data-science jupyter langchain pandas plotly python quarto template uv

Last synced: 02 Apr 2026

https://github.com/billgewrgoulas/hypothesis-testing-on-37-seasons-of-nba

First assignment for the course Data Mining @CSE.UOI

data-analysis data-science numpy scipy seaborn statistics

Last synced: 01 May 2026

https://github.com/com-480-data-visualization/project-2023-the-vizards

Lausanne Transportation : a data visualization of the Lausanne Transportation network. Developed by the Vizards team as part of the EPFL Data Visualization course project (COM-480).

buses data-analysis data-science data-visualization epfl lausanne map metro public-transport public-transportation switzerland webgl

Last synced: 01 May 2026

https://github.com/lhzn-io/kanoa

AI-powered interpretation of data science outputs with multi-backend support (Molmo, Gemini, Claude, OpenAI)

ai claude data-science data-visualization gemini interpretability jupyter llm machine-learning matplotlib molmo multimodal openai python vision-language-model vlm

Last synced: 01 Jun 2026

https://github.com/nikitalpopov/bachelor

research for bachelor degree

data-science python

Last synced: 19 Mar 2025

https://github.com/derhuerst/old-faithful-geyser

Testing data with waiting times between eruptions of the Old Faithful Geyser.

data-science dataset

Last synced: 27 Jan 2026

https://github.com/ggeop/multiple-fields-management

Fields management from/to different data sources. :bulb:

data data-engineering data-organization data-retrieval data-science pandas python

Last synced: 01 May 2026

https://github.com/tr-3n/smartsearch-ai

SmartSearchAI is a live semantic search engine powered by Streamlit for the UI, SerpAPI for real-time web search, and SentenceTransformers with FAISS for fast semantic similarity matching. It allows users to ask natural language queries and get intelligent, web-sourced answers without relying on a static dataset.

artificial-intelligence data-science deployment faiss machine-learning nlp pandas scikit-learn sentence-transformers streamlit

Last synced: 01 May 2026

https://github.com/nafisalawalidris/data-analysis-with-python

This repo features Jupyter Notebook labs for learning data analysis with Python. Explore data acquisition, wrangling, visualization, modeling, and evaluation. Enhance your skills in Python data analysis.

data-acquisition data-analysis data-science data-wrangling exploratory-data-analysis feature-engineering machine-learning model-development model-evaluation-and-refinement pandas

Last synced: 02 May 2026

https://github.com/andystmc/nextflownyc

Developed a machine learning model (Bidirectional LSTM) to forecast NYC traffic volumes using 10 years of automated traffic count data. Achieved strong predictive accuracy, demonstrating the power of deep learning for urban traffic analysis.

data-analysis data-cleaning data-science data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning jupyter-notebook lstm-neural-networks machine-learning numpy pandas predictive-modeling python3 scikit-learn tensorflow-keras traffic-flow-forecasting

Last synced: 07 Apr 2026

https://github.com/wencan/distilnlp

distilNLP is a natural language processing toolkits that are out-of-the-box, low-dependency, high-performance, and can achieve good results in solving real-world problems.

data-science language-model machine-learning natural-language-processing nlp

Last synced: 22 Jan 2026

https://github.com/prajakta1321/kenko

Kenko is a small self-research-based project that predicts individual health consumption patterns using demographic and lifestyle data.

data-science healthcare-application logistic-regression machine-learning machine-learning-algorithms python3 research-project svm-classifier

Last synced: 02 May 2026

https://github.com/md-emon-hasan/2-simple-bioinformatics-dna-ml-app

A simple bioinformatics application for DNA sequence analysis using machine learning techniques, implemented in Python.

bioinformatics data-science data-visualization deployment dna-sequences dna-sequencing supervised-machine-learning

Last synced: 09 Jun 2026

https://github.com/rvats20/python-programming-basic

Python programing basic to develop robust python applications.

data-science eda learning learning-by-doing matplotlib-python numpy pandas python

Last synced: 02 May 2026

https://github.com/gaurav-van/house_price_predictor_streamlit_web_app

Data Science Project to Predict House Prices in Bangalore using the concept of Regression. This Repository is used for Deployment of the Project

data-analysis data-science exploratory-data-analysis machine-learning prediction python regression streamlit

Last synced: 02 May 2026

https://github.com/subh888999/calories_nutritions_predictions

A machine learning-based Streamlit app that predicts daily calorie needs and provides a personalized macronutrient and hydration plan based on user lifestyle inputs.

bmi-calculator calorie-prediction data-science fitness healthcare huggingface machine-learning multioutput-regressor nutrition python regression sckit-learn streamlit

Last synced: 02 May 2026

https://github.com/ishanoshada/automagicio

A versatile plugin module for streamlining input/output operations in Python projects

data-science dataset filehandling pypi pypi-package python-io

Last synced: 20 Sep 2025

https://github.com/silvano315/wildfire_prediction_with_satellite_images

This project aims to explore satellite image dataset in order to create a CNN model for wildfire prediction problem. Explainability with ELI5 and GradCAM could be an interesting integration to be tested.

classification cnn data-science deep-learning eli5 satellite-images transfer-learning wildfire-prevention

Last synced: 24 Mar 2025

https://github.com/goldsharon/logistic-regression-from-scratch

A Logistic Regression model built from scratch in Python using NumPy, without ML libraries. It includes gradient descent, binary classification, and adjustable learning rates, demonstrating training, predictions, and weight updates with sigmoid activation.

binary-classification data-science from-scratch gradient-descent logistic-regression machine-learning python sigmoid-activation

Last synced: 03 May 2026

https://github.com/acolum/resources

Collection of helpful resources about Data Science, Machine Learning, R, Python, SQL, HTML/CSS/JavaScript, and more!

career community data-science job-hunting machine-learning opendata r resources rshiny rstats

Last synced: 14 Apr 2026

https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.

This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.

big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python

Last synced: 11 Apr 2026

https://github.com/adityajn105/cognilearn

A set of some Machine Learning utils frequently used by me while working as Data Scientist in Cognizant

business-analytics cognilearn data-science decile-analysis

Last synced: 29 Jul 2025

https://github.com/baggiponte/pbg-polars

@pola-rs workshop at @PythonBiellaGroup

data-science polars

Last synced: 03 May 2026

https://github.com/baggiponte/ta-statistics-for-big-data-2022

🎓 Introduction to Python and Machine Learning [UniMi • AY 2021/2022]

clustering data-science data-visualization machine-learning python scikit-learn

Last synced: 03 May 2026

https://github.com/rohithay/customer-segmentation

Clean and Apply RFM technique to rank and group clusters to identify the best customers and perform targeted marketing campaigns, using real online transaction data

data-cleaning data-science data-visualization datetime marketing-analytics pandas python3 user-segmentation

Last synced: 03 May 2026

https://github.com/moindalvs/assignment_pca_wine_dataset

Case Summary Perform Principal component analysis and perform clustering using first 3 principal component scores (both Heirarchical and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we have ignored at the begining who shows it has 3 clusters)

data-science feature-selection jupyter-notebook pca pca-analysis python tsne

Last synced: 17 May 2026

https://github.com/moindalvs/learn_feature_engineering

Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features

data-science data-transformation handling-missing-value label-encoding log-transformation minmaxscaling missing-values

Last synced: 16 Oct 2025

https://github.com/data-88e/fa25

UC Berkeley Data 88E Fall 2025 Website

data-science economics education jekyll jupyter uc-berkeley

Last synced: 03 May 2026

https://github.com/chouaib-629/customersegmentation

Hadoop-based Customer Segmentation project using the Online Retail Dataset. Implements MapReduce for processing and Python for preprocessing to uncover customer purchasing patterns for targeted marketing.

big-data customer-segmentation data-analysis data-science distributed-computing hadoop hadoop-mapreduce java mapreduce marketing-analytics python

Last synced: 04 May 2026

https://github.com/md-emon-hasan/ml-project-iris-classifier-using-docker-and-github-action-with-deployment

🌸 End-to-end deployment with Docker and automatic deployment via GitHub Actions using Flask, Docker, and GitHub Actions for CI/CD.

ci-cd cicd data-science docker docker-image github-action render

Last synced: 07 Mar 2026

https://github.com/double-o-z/powershell-json-lightweight-serializer-deserializer

Simple powershell functions to convert from and to json. Very lightweight, will be supported with every powershell version. No dependences.

convert converter data data-science deserialize json lightweight powershell serializer

Last synced: 04 May 2026

https://github.com/lulurun/web-data-miner

Nodejs library automatically extract data from html

data-mining data-science scraping

Last synced: 14 May 2025

https://github.com/ishaansathaye/data40x-1_2_3

Fall 2025 Cal Poly Data 401 Data Science Process and Ethics, 402 Mathematical Foundations of Data Science, 403 Projects Lab

capstone-prep data data-science ethics lab python

Last synced: 04 May 2026

https://github.com/ruchit0807/heart_disease_prediction

An interactive ML-powered web app that predicts the risk of heart disease based on clinical inputs like age, chest pain, cholesterol, ECG, and more. Built using Python, Streamlit, and scikit-learn, it offers early risk assessment in a simple and accessible way—just enter your health metrics and get instant feedback.

data-analysis data-science knn-regression pandas streamlit

Last synced: 04 May 2026

https://github.com/izzhafeez/jupyter-scripts

Jupyter Scripts that I've done over the years, mainly Data Science projects, but also lots of Web Scraping ones as well

data-science jupyter-notebook python r software-testing web-scraping

Last synced: 04 May 2026

https://github.com/programmer-rd-ai/digivis

A PyTorch-based deep learning implementation for MNIST digit recognition featuring CNNs, GPU acceleration, experiment tracking, and comprehensive testing capabilities.

cnn computer-vision cuda data-science deep-learning digit-recognition image-classification machine-learning mnist neural-networks python pytorch wandb

Last synced: 10 Jun 2025

https://github.com/drmrd/scdb

Exports of the Supreme Court Database into Python-friendly formats. (Mirror of https://dagshub.com/drmrd/scdb. Head there for datasets and a more complete experience!)

caselaw data-science feather law parquet python supreme-court supremecourtdatabase

Last synced: 09 Mar 2026

https://github.com/himel-sarder/complete-numpy

A comprehensive guide to mastering NumPy with practical examples and applications in machine learning. Perfect for learners and developers looking to deepen their knowledge of numerical computations in Python.

data-science dataanalysis machine-learning ml numpy numpy-exercises numpy-library numpy-python numpy-tutorial pythonlibrarires

Last synced: 04 May 2026

https://github.com/sheabunge/kit102-assign

KIT102 Introduction to Data Science: Data Modelling Assignment (Semester 2, 2018) | Assignment Grade: 100%

data-science entity-relationship-diagram relational-model schema sql

Last synced: 24 Feb 2026

https://github.com/franpog859/titanic-competition

❄️🚢 Machine Learning project workflow reference. Model predicts if given people survive the Titanic disaster basing on among others their age, sex and names

classification data-science kaggle machine-learning scikit-learn titanic workflow

Last synced: 05 May 2026

https://github.com/eduardochimchek/winemind

Previsão de Qualidade de Vinho com Redes Neurais Este repositório contém uma aplicação Flask que utiliza uma rede neural para prever a qualidade do vinho com base em suas características.

data-science flask machine-learning neural-network wine-quality-prediction

Last synced: 18 Apr 2026

https://github.com/flazefy2/ds-global_cybersecurity_threats

https://www.kaggle.com/datasets/atharvasoundankar/global-cybersecurity-threats-2015-2024

data-science data-visualization numpy python squarify statistics

Last synced: 05 May 2026

https://github.com/winter000boy/my-project-portfolio

Welcome to My Project Portfolio! This repository is a comprehensive collection of my work in Java programming, Python development, Machine Learning (ML), Artificial Intelligence (AI), and Web Development. Organized for ease of access, this portfolio highlights innovative and practical projects tailored to solve real-world challenges.

ai artificial-intelligence artificial-neural-networks bootstrap data-science deep-learning flask-application java-projects machine-learning numpy pandas-python potfolio-site python-projects python3 spring-boot tkinter-gui web-development

Last synced: 05 May 2026

https://github.com/saeun-park/lg-aimers-4th

MQL 데이터 기반 B2B 영업기회 창출 예측 모델 개발

b2b data-analysis data-science machine-learning mql

Last synced: 08 Apr 2025

https://github.com/bernta/norec-nlp

Sentiment Analysis of a Norwegian review corpus

corpus data-mining data-science deep-learning lstm nlp rnn sentiment-analysis svm

Last synced: 05 Jul 2025

https://github.com/jinglescode/ds-project-starter

This is a starter template for data science projects; it contains the file structure and presents some codes to guide you.

data-science starter starter-kit starter-template template

Last synced: 27 Feb 2025

https://github.com/flazefy2/ds-customer_shopping

https://www.kaggle.com/datasets/bhadramohit/customer-shopping-latest-trends-dataset

data-science data-visualization jupiter-notebook numpy python sales shopping squarify statistics

Last synced: 05 May 2026

https://github.com/emso-exe/falsificacao_de_cedulas_banco_central_do_brasil

Projeto de análise de falsificação de cédulas de real (R$) com base nos dados do site dadosabertos.bcb.gov.br.

analise-de-dados ciencia-de-dados dashboard data-analytics data-science datascience powerbi python python-3 python3

Last synced: 13 Apr 2026

https://github.com/muhammadsaqib001/streamlit-app-for-shadow-detection

Shadow Detector App is a web application built using Streamlit that utilizes a trained UNet model to identify and analyze shadows in uploaded images. This app allows users to upload images and detect shadows using advanced AI technology with just a click of a button.

computer-vision data-science image-processing machine-learning opencv pillow python streamlit streamlit-dashboard

Last synced: 05 May 2026

https://github.com/amarlearning/generating-keywords-for-google-adwords

Automatically generate keywords for a search engine marketing campaign using Python

data-cleaning data-science jupyter-notebook manipulating-dataframes pandas python

Last synced: 05 May 2026

https://github.com/mirokeimioniemi/classifying-software-pirates

Exploring the factors driving people into software piracy by training two machine learning models to predict whether a person with certain characteristics and sentiments is likely to possess any pirated software or not using a dataset collected via a survey targeting users of music production software.

data-analysis data-science decision-tree-classifier logistic-regression machine-learning piracy python software-piracy survey

Last synced: 06 May 2026

https://github.com/guruakaashjn/te_project_microsoft_ai

AI based statistical analysis of land-use plastic pollution in India using AI/ML techniques.

artificial-intelligence data-analysis data-analytics data-science data-visualization machine-learning powerbi

Last synced: 27 Feb 2025

https://github.com/drcbeatz/machine-learning-tool

Machine Learning Tool - Train and test supervised ML algorithms (incl. binary classification and regression) on custom data sets and visualize your results without knowing how to code.

data-science data-visualization django machine-learning python scikit-learn

Last synced: 06 May 2026

https://github.com/scarblase/homeless-animals-analysis

A data-driven exploration of homeless animal statistics 🐶🐱. Analyze age distribution, shelter dynamics, and adoption patterns using Python, Pandas, and Seaborn.

animals data-analysis data-mining data-science data-science-projects data-visualization matplotlib matplotlib-pyplot numpy pandas plotly python python3 ukraine

Last synced: 06 May 2026

https://github.com/shubhamgoyal575/ecommerce-product-categorization

This project classifies e-commerce products into predefined categories using machine learning. It includes preprocessing steps like stopword removal, punctuation cleaning, and feature extraction. Models, including LSTM, are implemented, and evaluated for better accuracy.

accuracy-score artificial-neural-networks confusion-matrix data-analysis data-cleaning data-preprocessing data-science data-visualization deep-learning exploratory-data-analysis hyperparameter-tuning logistic-regression long-short-term-memory machine-learning machine-learning-algorithms naive-bayes-algorithm natural-language-processing precision-score random-forest-classifier

Last synced: 30 Aug 2025

https://github.com/emso-exe/anuncios_em_redes_sociais

Projeto de machine learning aplicando regressão logistica nos dados de clientes que tiveram alguma interação com anúncios de redes sociais, se efetuaram ou não uma compra.

analise-de-dados ciencia-de-dados data-analytics data-science dataanalytics datascience kaggle kaggle-dataset logistic-regression machine-learning machinelearning python python-3 python3 regressao-logistica

Last synced: 20 Apr 2026

https://github.com/numbersprotocol/dyda

Dynamic data pipeline framework

ai artificial-neural-networks data-analysis data-science

Last synced: 07 Nov 2025

https://github.com/stratosphereips/dataset_tools

A tool set to work with our Stratosphere Laboratory cybersecurity datasets.

cybersecurity data-science datasets netflow network-security zeek

Last synced: 22 Jan 2026

https://github.com/gandhasiri-rahul-mohan/neural-networks-q2-gas_turbines

The dataset contains 36733 instances of 11 sensor measures aggregated over one hour (by means of average or sum) from a gas turbine.

data-science machine-learning neural-network nlp python-3-6

Last synced: 13 Mar 2026

https://github.com/benjikazzooe/diabetes_vorhersage

Machine Learning Model zur Diabetes-Klassifikation mit SHAP-Analyse

data-science explainable-ai machine-learning shap xgboost

Last synced: 20 Jan 2026

https://github.com/noturlee/titanic-datamodel

This project demonstrates the process of data preprocessing, model training, evaluation, and tuning in building a predictive model for a classic dataset. The Random Forest model, with its ability to handle complex relationships and interactions between features, proved to be the most effective in this case.

data-modeling data-science data-visualization python

Last synced: 08 Apr 2025