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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/anumit-web/ml-masterlist-2024
ML Masterlist, Machine Learning, 2024
image-segmentation kmeans-clustering machine-learning matplotlib numpy pandas reinforcement-learning scikit-learn supervised-learning unsupervised-learning
Last synced: 19 Jan 2026
https://github.com/katerynazakharova/deep-learning-and-neural-networks
Examples of NN models. DL algorithms
deep-learning dl h5py matplotlib neural-network neural-networks nn numpy pli scipy
Last synced: 26 Mar 2025
https://github.com/tynoee/movies-data-anlysis
This project explores a dataset of movies sourced from IMDb (via Kaggle) to uncover trends and insights about movie production, popularity, ratings, and more.
jupyter-notebook kaggle-dataset matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-learning
Last synced: 11 Apr 2026
https://github.com/raghavendranhp/waiter_tip_prediction
The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns
eda numpy pandas plotly-express plotly-graph-objects python sklearn
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https://github.com/gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render
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https://github.com/anfany/python3-practice
基于Python3的多种工具实例代码、以及流行库的使用贴士
matplotlib numpy pandas python3 tensorflow tips
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https://github.com/grampers-dev/co2oracle
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn
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https://github.com/epsoft/convolutional-neural-network-for-recognizing-farsi-handwritten-digits
Convolutional Neural Network for Recognizing Farsi Handwritten Digits
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https://github.com/yuanx749/complex_systems
A Python package for studying complex systems.
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https://github.com/2000pawan/data_science.
Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.
data-science machine-learning matplotlib numpy pandas powerbi seaborn statistics webscraping
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https://github.com/msadeqsirjani/machine_learning_hands_on
A comprehensive machine learning repository containing different concepts, algorithms and techniques.
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https://github.com/smusab9152/pokemon_data_analysis
This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .
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https://github.com/kernferm/presfutimpactsim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model
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https://github.com/emmanuelezenwere/aind-aiprojects
Portfolio of AI projects developed during my Udacity AI Nanodegree, covering Planning AI, Constraint Satisfaction, Hidden Markov Models, and Search algorithms.
alpha-beta-pruning astar-algorithm bellman-equation breadth-first-search constraint-satisfaction-problem depth-first-search hidden-markov-model kalman-filter minmax-algorithm networkx nltk numpy pandas scikit-learn scipy sympy
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https://github.com/hernandemonteiro/host_national_search_2015
Análise Estatística da Pesquisa Nacional por Amostra de Domicílios
colab-notebook matplotlib numpy pandas pnad python3 pythonnotebook seaborn
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https://github.com/mirgis/sassy-sandbox
A diverse code collection encompassing Python, JavaScript, Julia, and others, providing a wealth of examples, experiments, and snippets.
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https://github.com/FredStober/cpp2numpy
cpp2numpy is a C++ library to write numpy files
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https://github.com/jaypanchal9/spotless-data
Spotless Data: A Python-based workflow using Jupyter Notebooks for efficient data cleaning, preprocessing, handling missing values, correcting outliers, and integrating external datasets ideal for quick, reliable, and clean data preparation.
data-cleaning data-preprocessing data-wrangling matplotlib numpy pandas python3
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https://github.com/hansalemaos/cythonflatiter
Locates values in NumPy Arrays with Cython
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https://github.com/mrarvind90/fcc-mean-var-std-calculator
A Python program to compute the mean, variance, standard deviation, maximum, minimum, and sum of a given list, both flattened and along specified axes using Numpy.
black freecodecamp freecodecamp-challenge freecodecamp-project numpy python3
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https://github.com/vustron/car_price_predictor_backend
The backend server for the machine-learning model for prediction of car price
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https://github.com/briankopp/fewerbytes
compress numpy arrays. binary and numeric techniques for numpy compression
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https://github.com/datarohit/end-to-end-machine-learning-projects
This repo contains multiple simple and complex End to End DataScience Projects crated using Python and Streamlit and hosted on Heroku and Streamlit.
heroku heroku-deployment machine-learning matplotlib numpy pandas python seaborn sklearn streamlit streamlit-webapp
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https://github.com/codeantik/spam-ham-detector
A machine learning model to detect whether the mails are spam or ham
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https://github.com/evardnk/dataanalyticsportfolio
Собрание моих проектов по аналитике данных
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https://github.com/datarohit/nlp-course-files
The files in this Repo are files for the online NLP-Course from Udemy.com which I completed.
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Basic Python programs and Try outs..
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https://github.com/yash-rewalia/stock-closing-price-prediction-using-regression
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https://github.com/freebirdscrew/datascience_crash_course
Data Science Crash Course that Explained about Each and Every Process in Data Science.
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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
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https://github.com/nisch-mhrzn/laptop-price-predictor
Predict laptop prices with ease! 🚀 Input specs like brand, RAM, and more to get real-time price estimates using machine learning.
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https://github.com/vvipjain/employee-analysis
Employee Data Analysis
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https://github.com/odnil/flowmodel
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
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https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using
The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.
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https://github.com/lioccoumd/news-sentiment-analysis
This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.
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https://github.com/yeetooq/pivaldi_telegram_bot
An unofficial bot for the Pivaldi restaurant that provides easy access to the menu, order placement, and current promotions. Plus, enjoy entertainment features like games, cryptocurrency rates, jokes, weather updates, and more!
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https://github.com/miltiadiss/ceid_ne562-data-mining-and-machine-learning-algorithms
This project involves analyzing a dataset through statistics and visualizations to uncover patterns & correlations. It trains classifiers (Neural Networks, Random Forests, Bayesian Networks) to predict physical activities and evaluates their performance. Finally, it clusters participants' activities using 2 algorithms, comparing their effectivenes.
matplotlib numpy pandas seaborn sklearn sklearn-metrics
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https://github.com/dhruvsrikanth/pynn
Purely NumPy based API for building deep neural networks.
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https://github.com/prajwalchapke055/sih-1505---smart-india-hackathon-2023
Problem Statement : Aerial Location of Hazardous Atmosphere in Industries (Ministry of Home Affairs).
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https://github.com/omerkel/fractals
Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.
fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader
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https://github.com/moeeinaali/ce282-la
Solutions to Dr. Rabiee's CE282: Linear Algebra Course (Sharif University of Technology - Spring 2024)
linear-algebra matplotlib numpy pandas python
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https://github.com/qua77i20/ai2
A simple single-layer neural network (perceptron) built in Python. Demonstrates backpropagation training from scratch for beginners.
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https://github.com/urme-b/multimodal-multisensor
Longitudinal neurophysiological study of adult psychometric testing.
keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow
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https://github.com/hokagem/damagedlogginganalyzer
A project about an analyzation of a statistic of damaged logging (wood) in Germany using Python.
analysis csv csv-parser k-fold-cross-validation numpy pandas pandas-dataframe pandas-python polynomial-regression scikit-learn statistics wood
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https://github.com/prodev717/neurogen
A simple Python library to build and train deep neural networks (SLP and MLP). It includes functions for forward propagation, backpropagation, loss calculation, and model saving/loading.
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https://github.com/bobzheng00/medscan-mentor
MediScan Mentor is an innovative application designed to assist medical students in interpreting CT scans.
artificial-intelligence brain-diseases colab-notebook ct-scans deep-learning education machine-learning medical-ai-project medical-imaging mongodb numpy object-detection openai pandas pubmed python pytorch rag streamlit yolov5
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https://github.com/borchehq/incstatspy
NumPy based Python library for online calculation of moments .
central-moments mean numpy numpy-arrays numpy-library online-algorithms rolling-statistics running-statistics statistics variance
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https://github.com/li-plus/tinynn
An educational PyTorch-like neural network framework based on NumPy
autograd deep-learning machine-learning neural-network numpy python
Last synced: 30 Apr 2026
https://github.com/garcane/Income-Prediction-ML
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 24 Oct 2025
https://github.com/renan-siqueira/face-recognition-research
This project pertains to video analysis, face recognition, and image clustering.
data-science deep-learning dlib docker docker-image face-recognition machine-learning neural-network neural-networks numpy opencv opencv-python pillow python scikit-learn scipy
Last synced: 13 Apr 2026
https://github.com/guptaachin/titanic-data-analysis
This is analysis and modelling of the famous Titanic Data Set from Kaggle.
dataanalytics datamining datascience machinelearning numpy pandas python scikit-learn structuredpyramidanalysisplan tableau tableau-desktop
Last synced: 13 Apr 2026
https://github.com/hit07/data_science
Data [ Exploration, Cleaning, Manipulation, Visualisation ]
data-analysis data-cleaning data-exploration data-manipulation data-visualization eda jupyter-notebook matplotlib numpy pandas-dataframe scipy
Last synced: 27 Mar 2025
https://github.com/rafinhadufluxo/calculonumerico
Trabalhos de Cálculo Numérico UFFS 📐📊
calculate-numbers exercices matematica mathematical-modelling matplotlib-figures numpy python3 student
Last synced: 11 Sep 2025
https://github.com/nathanielsimard/numpy-mnist-classifier
Feed forward neural network using Numpy for MNIST classification.
deep-learning machine-learning mnist mnist-classification mnist-classifier numpy
Last synced: 29 Apr 2026
https://github.com/rakibhhridoy/exploratorydataanalysis-python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest
Last synced: 30 Apr 2026
https://github.com/patilni3/numpy-in-depth
Python's NumPy Library for Data Analysis, Machine Learning, Data Science and many more...
data-analysis data-engineering data-science machine-learning numpy pandas
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https://github.com/buathiertom/pictures-stacking
SAE de développement d'une interface d'empilement d'image
astropy mathplotlib numpy pyplot pyqt6 python-pyqt6
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https://github.com/hamolicious/inversekinematics
Inverse Kinematics implementation in Python and PyGame
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https://github.com/zacheddy/imageclassifier
A convolutional neural network from scratch to classify images (demo available)
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https://github.com/alicbm/learnlytics-code
Repositorio oficial de LearnLytics, una plataforma de tutoriales sobre análisis de datos, ciencia de datos, programación y economía. Aquí encontrarás los códigos y bases de datos utilizados en nuestros tutoriales, junto con documentación detallada para su implementación. 🚀
analisis-de-datos automation economia estadistica machin matplotlib mysql numpy pandas programming python r selenium webscraping
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https://github.com/bunu23/image-classification-resnet50-streamlit
This project demonstrates an image classification system using ResNet50, fine-tuned on a custom dataset. It includes a Streamlit application for user interaction, allowing image uploads and classification results. It integrates Google's generative AI models for enhanced analysis.
cnn deep-learning generative-ai keras matplotlib numpy pillow python resnet-50 streamlit tensorflow
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https://github.com/vineet416/eda-travel
EDA Travel data by PW Skills Data Analytics Course.
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https://github.com/vidhi1290/ai-ml-cartoonifier
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https://github.com/chandansoren/credit-card-fraud-detection
Credit card fraud detection through logistic regression.
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https://github.com/sebsikora/curve_fitting
A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.
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https://github.com/nirmalyabag20/book-recommended-system
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https://github.com/prashver/salary-prediction-on-scraped-data
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data-scraping machine-learning-algorithms matplotlib numpy pandas regression-models salary-estimator seaborn selenium selenium-webdriver
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https://github.com/nirmalnishant645/attendance-system
Automated Attendance System using Facial Recognition in Python
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https://github.com/mchenryspagg/outlier-detection-in-election-data
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https://github.com/olutosinbanjo/direction_field
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https://github.com/kavayk29/quora-duplicate-question-pair
This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.
beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost
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https://github.com/epsoft/nlp
NLP
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https://github.com/epsoft/transfer-learning
Transfer Learning
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Last synced: 06 May 2026
https://github.com/akshaypatra/expression_detector
The Expression Detector is an AI-based system that identifies and classifies human facial expressions in real-time . It utilizes computer vision and deep learning techniques to analyze facial features and determine the emotional state of a person, such as happiness, sadness, anger, surprise, fear, disgust, or neutrality.
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Last synced: 30 Apr 2026
https://github.com/abhishek010397/machinelearning-modeltraining
Machine Learning Model Training for Car Detection
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https://github.com/hklyousfi/cyberxnoteloom
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https://github.com/iv4n-ga6l/human-motion-capture
Realtime Human Motion Tracking and Analysis
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https://github.com/epsoft/text-generation-stopword
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https://github.com/amorehead/ml-fundamentals
A self-educational series of Python scripts made to explore the vast library of machine learning knowledge.
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https://github.com/harmonicode/image-mixer
A PyQt5-based application for real-time image processing and reconstruction using frequency components like magnitude, phase, real, and imaginary parts. Adjust brightness and contrast, and mix images with ease.
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Last synced: 13 Mar 2026
https://github.com/mrhashemi/optimizers
Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.
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https://github.com/prayag2003/stock-trend-prediction-lstm-model
My first ML Project on Stock Trend Prediction🚀🚀 The dataset consists of stock opening, closing, high, low data values scrapped from Yahoo Finance from the year 2010 to 2022. The LSTM ( Long Short-Term Memory ) deep learning model shares the idealogy of Time Series.
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https://github.com/swaathi/cpt-recommendation
Collaborative Filtering using User-Item and Item-Item Models
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https://github.com/csirmaz/hypergeometry
Geometric tools for an arbitrary number of dimensions
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NumPy Neural Network framework
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Last synced: 26 Mar 2025
https://github.com/salma-mamdoh/python
My journey in Learning Python
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Last synced: 02 Apr 2026
https://github.com/machinelearningprodigy/covid-19-detection-system
It is a Flask-based web application that predicts the likelihood of COVID-19 infection based on user symptoms. The app utilizes a K-Nearest Neighbors (KNN) model trained on relevant medical features to assess COVID-19 risk.
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Last synced: 20 Apr 2026
https://github.com/cesarmartinez7/anchorports
Escaneador de puertos hecho en python con la libreria de nmap-python y Scapy.
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Last synced: 18 May 2026