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

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/badranalyst/time-series-analysis-of-global-trends-in-diet-gym-and-finance

This project analyzes global trends in diet, gym, and finance over time using time series data. The analysis is performed using Python libraries like Pandas, Matplotlib, and Seaborn to visualize trends and identify patterns in these sectors across various countries.

data-analysis dataset matplotlib-pyplot numpy pandas python seaborn time-series

Last synced: 14 Apr 2026

https://github.com/venkat-a/python-eda-exploratory-data-analysis-

This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.

descriptive-statistics matplotlib numpy pandas seaborn statistical-analysis visualization

Last synced: 07 May 2026

https://github.com/allanreda/automated-k-means-clustering-engine

An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.

cicd css data-visualization deployment docker flask google-cloud-run html javascript k-means-clustering machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 19 Jan 2026

https://github.com/bharath-tars/deeptumor2.0

DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting. **NOTE: DeepTumor2.0 has been moved from Azure to On-Render to save costs**

css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow

Last synced: 21 Jan 2026

https://github.com/saifalibaig/covid-19-death-rate-analysis-using-python

Analysis of Covid-19 data along with the world happiness report to identify if there is any relationship between death rate and happiness rate of countries all over the world.

data-analysis data-visualization numpy pandas python3 sns visualization

Last synced: 03 May 2026

https://github.com/chaakshay/heartdrive

A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.

csv mathplotlib numpy pandas pandas-dataframe python scikit-learn seaborn streamlit

Last synced: 05 Apr 2026

https://github.com/sultanazhari/game-trend

Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.

matplotlib-pyplot numpy pandas python3 scipy-stats video-game

Last synced: 11 Apr 2026

https://github.com/sabbir45ali/cam-board

This is Python based project which is a virtual board and we write there using our finger and clear it and color changing.

numpy pandas python3

Last synced: 14 Apr 2026

https://github.com/ashutosh65000/invisible-cloak

Have you watched the Harry potter movie? The Invisible Cloak scene pushed me to make this small code.

image-processing numpy opencv-python

Last synced: 19 Apr 2026

https://github.com/jeffson-dsilva/smartphone-price-prediction

Smartphone Price Prediction is a machine learning project that predicts the price category of a smartphone based on its features. This project provides insights into how various specifications, such as RAM, battery capacity, and processor speed, influence the pricing of smartphones.

dataanalysis machine-learning matplotlib modelbuilding numpy pandas price-prediction python seaborn smartphone

Last synced: 14 Apr 2026

https://github.com/chandkund/ev-market-segmentation

This project focuses on segmenting the Electric Vehicle (EV) market in India to identify key customer groups based on their preferences, behaviors, and demographics.

machine-learning matplotlib numpy pandas seaborn sklearn visualization

Last synced: 19 Jan 2026

https://github.com/sayidmushtaq/reportcard

Tracking and analyzing student grades. It calculates averages, identifies top performers, and generates performance reports with ease.👨🏼‍🎓👨🏼‍🎓

begginer-project numpy reporting-tool

Last synced: 27 Jan 2026

https://gitlab.com/DLR-SY/boxbeam

Boxbeam is a legacy Fortran tool translated to python. It calculates effective beam properties of composite cross sections comprised of rod-like elements.

fortran numpy python

Last synced: 12 Oct 2025

https://github.com/chandkund/sms-spam-detection

The goal is to develop a classification model that can accurately differentiate between spam and non-spam messages. This is crucial for applications like email filtering, SMS spam detection, and improving overall user experience by reducing the influx of unwanted or malicious content.

matplotlib nlp-machine-learning numpy pandas seaborn stemming tfidf-vectorizer tokenization

Last synced: 19 Jan 2026

https://github.com/achronus/data-graphing-tool

A tool for finding the perfect graph that fits your CSV data.

data-visualization matplotlib numpy pandas python3

Last synced: 13 Oct 2025

https://github.com/szymon-budziak/real_estate_house_prices_prediction

Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.

data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn

Last synced: 21 Jan 2026

https://github.com/shubham-bendre/football-clip-analysis

This project uses YOLO and Roboflow datasets to analyze football matches, detecting players, referees, and the ball while tracking movements in real-time.

deep-learning matplotlib numpy roboflow-dataset yolov5

Last synced: 17 May 2026

https://github.com/wasifsohail5/amusic-ai_powered_musicrecommendationsystem

AMUSIC is an AI-driven music recommendation system that helps users discover personalized songs. Using Python, Streamlit, and Scikit-learn, it offers smart recommendations, advanced search, and interactive music insights. Users can save favorites, create playlists, and export data for a seamless music discovery experience.

joblib k-nearest-neighbours matplotlib minmaxscaler numpy pandas pickle plotly python scikit-learn seaborn streamlit

Last synced: 14 Oct 2025

https://github.com/ayorick23/python-data-science-cheat-sheet

Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.

cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow

Last synced: 07 Apr 2026

https://github.com/yahiazakaria445/ensemble-learning-voting-classifier

Ensemble Learning Using KNN, Naive Bayes, Decision Tree on Biomechanical Data

matplotlib numpy pandas scikit-learn seaborn

Last synced: 30 Apr 2026

https://github.com/hansalemaos/cirdhighspeedcoverter

High speed conversion of IP addresses represented in CIDR notation into their corresponding start and end IPs, along with their respective subnet masks.

cidr data-manipulation ip-addresses ip-conversion network network-management network-security numpy pandas subnet-mask

Last synced: 27 Jan 2026

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 14 Apr 2026

https://github.com/hansalemaos/locate_pixelcolor_cython_multi_auto_compile

Detects colors in images 8 x faster than Numpy / Uses Cython - returns a dict

bot c color colors colour colours cpp cython fast find multiprocessing numpy numpy-array opencv rgb rgba search

Last synced: 24 Feb 2026

https://github.com/aqueeqazam/student-placements-using-machine-learning-and-flask

Through the use of Flask and machine learning, I show how to implement the student placement prediction model.

flask machine-learning numpy pandas

Last synced: 14 Apr 2026

https://github.com/gregoritsch3/ml_eda_classification_diabetes

An EDA and Machine Learning Classification exercise on the Diabetes dataset demonstrating the use of SQLAlchemy data import from an SQL database (PostgreSQL), Pre-processing Pipelines, ANOVA, 9 ScikitLearn ML models, Hyperparamter Tuning for the best performing one, and feature importance.

anova machine-learning matplotlib numpy pandas pipelines scikit-learn seaborn sql sqlalchemy statistics

Last synced: 14 Apr 2026

https://github.com/mizcausevic-dev/embedding-drift-graph

Track how entity embeddings drift across encoder model versions. SQLite store + Strawberry GraphQL API. Cosine drift events computed automatically on every record. Reference impl for RAG/eval pipelines re-encoding their corpus.

ai-governance drift-detection embeddings graphql llm numpy python rag sqlite strawberry-graphql vector-search

Last synced: 01 Jun 2026

https://github.com/architj6/gesture-control-system

This Gesture Control System allows users to control various system functions (like mouse movement, volume adjustment, and screen brightness) using hand gestures through a webcam. It leverages MediaPipe for hand tracking and PyAutoGUI for controlling the system. The project enables intuitive, hands-free control for everyday tasks.

brightness-control cursor cursor-control doubleclick drag-and-drop gesture handgesture handgesture-recognition mediapipe numpy opencv os pyautogui pycaw python python3 scroll volume-control

Last synced: 17 Apr 2026

https://github.com/karthik9273/revolutionizing-gold-rate-forecasting-for-small-businesses-with-machine-learning

The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.

data-science google-colab-notebook jupyter-notebook machine-learning matplotlib numpy pandas-dataframe python seaborn sklearn

Last synced: 06 May 2026

https://github.com/mjul/scipy-lab

Scientific computation with Python

matplotlib numpy python scipy

Last synced: 04 May 2026

https://github.com/alansteinbarth/irysy

🪻 Irysy 🌼 eksploracyjna analiza danych – wizualizacje, ML, transparentny kod i autorskie grafiki. Projekt łączący AI, estetykę i praktyczne umiejętności!

ai classification clean-code data-science exploratory-data-analysis feature-engineering github-pages iris-dataset jupyter-notebook machine-learning matplotlib modern-ui numpy open-source pandas portfolio-project python reproducible-research seaborn visualization

Last synced: 17 Oct 2025

https://github.com/mbarbetti/hello-snakemake

Simple implementation of snakemake to sample and plot data

hello-world matplotlib numpy python snakemake

Last synced: 14 Apr 2026

https://github.com/sharif-minhaz/rag-system

Ingest and vectorize content upon publication, store embedding, then retrieve and augment user queries with context to generate high-quality responses.

faiss flask mysql2 nodejs numpy rag react transformers

Last synced: 14 Apr 2026

https://github.com/icepanorama/internship-visualizations-and-demonstrations

A collection of some of the programs that I've written over the course of my internship.

artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn

Last synced: 14 Apr 2026

https://github.com/samir-atra/experiments_and-_improvements

A repository showing the knowledge in some of the machine learning technologies there are.

dcgan-tensorflow numpy tensorflow-tutorials tensorflow2

Last synced: 23 Jan 2026

https://github.com/harmanveer-2546/reducing-data-entries

Way to delete data entries from csv/excel file using. For excel file, use excel instead of csv in the code.

csv data data-entry delete-data excel numpy pandas python

Last synced: 05 May 2026

https://github.com/apbetioli/neural-network

A simple neural network implementation

machine-learning neural-network numpy python3

Last synced: 29 Apr 2026

https://github.com/miasanromen/math-modeling

Math modeling with Python. Statistics, math, graphics

math matplotlib numpy probality-theory scipy-stats statistics

Last synced: 14 Apr 2026

https://github.com/tugot17/neural-network-from-scratch

Simple neural network implemented from scratch using numpy package

from-scratch neural-network numpy python

Last synced: 26 Oct 2025

https://github.com/rezasharifi82/lesson_extractor

Extract all possible "معارف" courses @ Ferdowsi University of Mashhad ,FUM

beautifulsoup4 ipynb jupyter-notebook numpy pandas python3 regex

Last synced: 06 Feb 2026

https://github.com/sonaligill/olympics-analysis

The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.

numpy plotly python scikit-learn scipy streamlit

Last synced: 28 Jan 2026

https://github.com/asut00/Machine-Learning-Program_42AI

Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.

linear-regression machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 27 Oct 2025

https://github.com/ambrish8/bell-s-palsy

BELL’S PALSY SEVERITY DETECTION USING DEEP LEARNING

cnn-architecture imagedatagenerator keras numpy opencv python pytorch resnet-50

Last synced: 15 Apr 2026

https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-

This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms

data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier

Last synced: 15 Apr 2026

https://github.com/stavrosarm/mathematics_algorithms

Fundamental algorithms of Linear Algebra , Numerical Analysis and Calculus in Python and Julia.

calculus julia-language linear-algebra numerical-analysis numpy python

Last synced: 30 Jan 2026

https://github.com/shwetapardhi/assignment-03-q4-hypothesis-testing

Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5

alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas python scipy significance-testing stats

Last synced: 31 Jan 2026

https://github.com/thkox/uni_2023-compression-and-object-removal

This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

2023 6th-semester colorama compression-algorithm department-of-informatics heapq lossless-compression-algorithm motion-compensation multimedia-systems numpy object-removal opencv-python pickle python scipy-stats university-of-piraeus

Last synced: 07 Feb 2026

https://github.com/manu-karenite/medical-insurance-cost-predictor

Medical Insurance Cost Generator is a Linear Regression based Predictor which is used to estimate and predict the Cost a person has to pay while Buying a Medical Insurance.

kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn

Last synced: 15 Apr 2026

https://github.com/karishmagupta05/airbnb-data-scraping-and-analysis

This project involves web scraping Airbnb listings using Python and BeautifulSoup, followed by data analysis with Pandas. The goal is to extract meaningful insights from the data, clean and preprocess it, and visualize the results using libraries like Matplotlib and Seaborn.

beautifulsoup4 matplotlib numpy pandas python scraping seaborn visualization

Last synced: 15 Apr 2026

https://github.com/nmerka/practicum_rep

Проекты курса Аналитик данных (Яндекс.Практикум)

jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn sql tableau

Last synced: 31 Jan 2026

https://github.com/farha-dahman/investigate_dataset

Investigate [No-show appointments] Dataset

data-analyst jupyter-notebook matplotlib numpy pandas python

Last synced: 15 Apr 2026

https://github.com/offthetab/lung_cancer_prediction

ML for Lung Cancer Prediction dataset from kaggle.

matplotlib numpy pandas python seaborn sklearn

Last synced: 25 Feb 2026

https://github.com/vyask21/opencv-drowsy

Drowsiness detection can be quickly done using shape predictor face landmarks.dat model file that mark the essential landmarks on the face using OpenCV modules.

numpy opencv-python scipy

Last synced: 08 Feb 2026

https://github.com/tsar123/neutral-single-nucleotide-polymorphisms-analysis

analysis of data on neutral single nucleotide polymorphisms

dna-polymorphism matplotlib numpy pandas seaborn snv

Last synced: 01 Feb 2026

https://github.com/bineet-ratna-shakya/data-science-salary-analysis

analyzing a dataset containing salaries of data science professionals from 2020 to 2023.

data-analysis data-science data-visualization jupyter numpy pandas python

Last synced: 01 Feb 2026

https://github.com/hygull/pyrandocs

A repository (pyrandocs i.e. Python's v2/v3 random documents/files) containing different Python v2/v3 based resources (files/documents etc.) from random topics. A project to try different Python's features.

base64 beautifulsoup class exception-handling hashlib json jwt-authentication loops matplotlib nltk numpy pandas python2 python27 python3 requests searching time-complexity urllib urllib2

Last synced: 15 Apr 2026

https://github.com/sarowarahmed/advertising-sales-app

📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.

advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit

Last synced: 07 Feb 2026

https://github.com/luisall12/fraud-detection-machine-learning-python

Fraud detection system that recognises and signals strange transactions using machine learning

detection flask fruad html numpy pandas python ui

Last synced: 15 Apr 2026

https://github.com/coueghlani/nlp

Proyecto de Procesamiento de Lenguaje Natural y Análisis de Datos

mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy

Last synced: 08 Feb 2026

https://github.com/smahala02/materials-science-introduction

Introduction to Materials Science concepts using Python for array manipulation and visualization with NumPy and Matplotlib.

data-visualization materials-science matplotlib numpy python scientific-computing

Last synced: 09 Feb 2026

https://github.com/carterbox/libimage

Provides large (2k) test images as NumPy arrays.

images numpy python

Last synced: 15 Apr 2026

https://github.com/puureya2/catalogue-price-scraper

Scrape & store product prices with Selenium & BeautifulSoup4. Visually represent data with MatPlotLib,Personal Project

beatifulsoup4 chrome-webdriver matplotlib numpy pandas python python-csv selenium webscraping

Last synced: 16 Apr 2026

https://github.com/mindkerchief/baselineml

A collection of machine learning task performed during my studies in computer science major in intelligent system.

decision-tree dummy gaussian-mixture-models kmeans-clustering linear-regression logistic-regression machine-learning matplotlib numpy pandas random-forest scikit-learn seaborn tensorflow

Last synced: 16 Apr 2026

https://github.com/mustafaozvardar/image-classification-webapp

This project features an AI model for diagnosing pneumonia from chest X-ray images. Users can upload a chest X-ray image through the app, and the model will classify it.

artificial-intelligence computer-vision keras numpy python streamlit streamlit-webapp tensorflow

Last synced: 27 Feb 2026

https://github.com/walkerdustin/python-linear-regression

simple linear regression in python based on coursera andrew ng course

ai linear-regression machine-learning ml numpy python

Last synced: 05 May 2026

https://github.com/lexxai/goit_python_ds_hw_09

Модуль 9. Підбір гіперпараметрів НМ. Глибоке навчання. Tensorflow. Keras.

adam-optimizer data-science google-colab keras keras-tensorflow numpy python

Last synced: 16 Apr 2026

https://github.com/saurabh274/netflix-eda

Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries.

matplotlib numpy pandas python seaborn

Last synced: 28 Feb 2026

https://github.com/nagar2nd/ml-regressionmodel---cardekho-price-prediction

This repository features a machine learning model for predicting used car prices using data from CarDekho.com. The project leverages exploratory data analysis and regression techniques to empower sellers and buyers with actionable insights in the Indian used car market.

analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/pramodyasahan/health-insurance-cost-prediction

This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc

machine-learning matplotlib numpy pandas python3 scikit-learn

Last synced: 16 Apr 2026

https://github.com/urvee1810/air-quality-prediction-using-arima

Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.

arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis

Last synced: 16 Apr 2026

https://github.com/ashwin331133/liver_disease_detection

This dataset consists of 416 liver patient records and 167 non-liver patient records collected from North East of Andhra Pradesh, India. And The main objective of this project is to use classification algorithms to detect liver patients from healthy individuals.

data-visualization machine-learning numpy pandas python

Last synced: 16 Apr 2026

https://github.com/thekartikeyamishra/customer-retention-predictor

The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.

joblib machine-learning numpy pandas python scikit-learn tinker

Last synced: 16 Apr 2026

https://github.com/iankitnegi/python_projects

Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.

matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 27 Mar 2026

https://github.com/leftcoastnerdgirl/supervised_learning

This project demonstrates supervised machine learning using scikit-learn.

classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn

Last synced: 16 Apr 2026

https://github.com/littie28/hazy-frames

Hierarchical coordinate frames - crystal clear transforms

3d coordinate-systems geometry numpy python reference-frames scipy transformations

Last synced: 18 Apr 2026