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: 2026-06-26 00:18:09 UTC
- JSON Representation
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/deepcloudlabs/dcl702-2021-jul-12
DCL-702: Data Analytics using Python
data-analytics numpy pandas python3
Last synced: 05 May 2026
https://github.com/sunilvarma-l/liverdiseaseprediction
"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."
machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit
Last synced: 13 Apr 2026
https://github.com/antodata/hate_crimes_spain_2014_2017
Analysis of hate crimes in Spain between 2014 and 2017 using official data
chi-square chi-square-test data-analysis data-visualization datascience folium hatecrime json lgtbiq linear-regression maps matplotlib numpy pandas python python3 scipy selenium selenium-webdriver sklearn
Last synced: 14 Apr 2026
https://github.com/architj6/gesture-volume-control
Easily control your system volume with simple hand gestures! This project leverages OpenCV, MediaPipe, and Pycaw to track hand movements and adjust the system volume dynamically. Say goodbye to keyboard shortcuts and volume buttons—just move your hand to set the volume!
handgesture mediapipe numpy opencv os pycaw python python3 volume-control
Last synced: 03 May 2026
https://github.com/neelays/xor-xnor_neural_network
NumPy neural network to approximate XOR/XNOR
Last synced: 15 May 2026
https://github.com/farhad-here/predict_student_performance
Predict Student Performance, is a data analysis and machine learning project aimed at predicting students' final performance (g3) based on demographic, family, and academic features. The project supports both Regression (predicting exact grades) and classification (Pass/Fail categories).
classification data-analysis data-visualization linear-regression machine-learning numpy pandas postgresql powerbi scikit-learn streamlit
Last synced: 14 Apr 2026
https://github.com/yulia-momotyuk/dla-data-analysis-practice
This repository contains my homework assignments completed during the "Data Analyst in IT" course at Data Loves Academy.
analytics data-analysis data-visualization excel mysql numpy pandas postgres powerbi python seaborn sql tableau
Last synced: 14 Apr 2026
https://github.com/navindafernando/lane-detection
Lane Detection with Image Feature Extraction Techniques :aerial_tramway:
image-feature-extraction kernel-filters machine-learning neighborhood numpy opencv sobel-filter
Last synced: 13 Apr 2026
https://github.com/saivarun2611/potato_disease_classifier
This project is a Potato Disease Classifier that uses a Convolutional Neural Network (CNN) to classify potato leaves as healthy, suffering from early blight, or late blight. The model helps in early detection of diseases, which can be crucial in maintaining crop health and yield.
cnn keras matplotlib numpy pandas python3 tensorflow
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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
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https://github.com/juzershakir/train_a_smartcab_to_drive
From just cab, to Smart-Cab
cogsci decay-rate epsilon machine-learning machine-learning-algorithms machine-learning-tutorials matplotlib numpy pandas pygame python27 q-learning reinforcement-learning smartcab training udacity-nanodegree visualization
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https://github.com/shuyib/pimadlkeras
Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn
Last synced: 15 Mar 2026
https://github.com/mlicamele/neural-network
Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.
gradient-descent matrix-computations neural-networks numpy python
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https://github.com/chirindaopensource/search_benford_law_compatibility
End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.
academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing
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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/bilgenurbekar/turkishcyberbullying
Contains fine-tuned BERT models and results in the text classification category using Turkish social media data
bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers
Last synced: 07 Mar 2026
https://github.com/atul-maurya-30/galaxy
Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.
flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
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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/luliatuccu/weather_analysis
This project highlights a combination of data science techniques and Python programming to explore real-world weather data.
data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns
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https://github.com/yashaka/learncv
Toolset used in learning Computer Vision at R_D course
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https://github.com/alefair/ds
Data Science projects
ipython jupyter matplotlib numpy pandas python sklearn
Last synced: 15 Mar 2026
https://github.com/hellymodikalpesh/numpy
This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.
Last synced: 28 Jan 2026
https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations
This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.
jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
Last synced: 28 Jan 2026
https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
data-cleaning data-imputation data-normalization data-standardization exploratory-data-analysis jupyter-notebook loan-analytics loan-default-prediction matplotlib-pyplot numpy pandas python-data-analysis python-data-science risk-analysis seaborn-plots
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https://github.com/tugot17/neural-network-from-scratch
Simple neural network implemented from scratch using numpy package
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https://github.com/anhquoc533/neural-network
A Neural Network framework for building Multi-layer Perceptron model.
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https://github.com/gusenov/max-empty-rect-py
:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
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https://github.com/nordszamora/ds-ml-projects
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https://github.com/harmanveer2546/heart
Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)
data-preprocessing decision-tree eda knn logistic-regression machine-learning numpy pandas random-forest roc-auc-curve svc
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https://github.com/bedirk/portfolio-projects
Data Analytics Portfolio Projects
dataanalysis excel mssqlserver numpy pandas powerbi python sql tableau
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https://github.com/lavkalsi/creditcardfrauddetector
Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.
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https://github.com/alejandro945/insurance-risk
This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.
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Pynanopore serves as a sophisticated toolkit for analyzing single molecules, designed to interpret complex states within nanopore data automatically.
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https://github.com/sa001gar/password-manager-on-the-top-of-streamlit
Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use
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Учебные проекты из Яндекс Практикума "Специалист по Data Science+"
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Repository dedicated to storing and managing the first assignment for C213 - embedded systems.
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https://github.com/shahaba83/airplane-ticket-cancellation
In this project, we try to predict the possibility of canceling the plane ticket by the buyer
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https://github.com/deepankkartikey/ml-projects
A repository of projects done while learning and exploring ML
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https://github.com/ramy-badr-ahmed/higgs-dataset-training
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
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https://github.com/jaypanchal9/fraud-detection-case-study
A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
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Welcome to **ML-Journey**, my personal progress tracker for mastering machine learning! This repository showcases my projects, notebooks, and explorations as I advance my skills, starting with hands-on projects.
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https://github.com/muhkartal/fr-photo
face-recognition system works on images first of all you need to register valid image as recognition
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data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier
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https://github.com/tamk-kol/project_orbital_data_analysis
The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.
matplotlib numpy pandas scikit-learn
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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
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https://github.com/ayuub34/siesta-smart
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Predict whether the cancer is benign or malignant
gradient-descent logistic-regression machine-learning numpy
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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
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https://github.com/shishirshekhar/penguin_app
This is a penguin species prediction web app
data-science logistic-regression ml numpy pandas python python3 random-forest-classifier streamlit streamlit-application streamlit-webapp support-vector-machine
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https://github.com/arraypd/airflow-etl-elt
airflow duckdb elt etl matplotlib metabase ml numpy pandas postgresql python scikit-learn
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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
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https://github.com/olfabelhadj/analyse-des-ventes-d-une-librairie-avec-python
OpenClassrooms parcours Data Analyst Projet 9
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https://github.com/sarmad426/ai
AI basic to advanced featuring Machine Learning, Deep Learning and Data Science.
ai data-science deep-learning hugging-face machine-learning numpy pandas python scikit-learn
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https://github.com/amruta33/credit_card_analysis
The loan providing companies find it hard to give loans to the people due to their insufficient or non-existent credit history. Because of that, some consumers use it as their advantage by becoming a defaulter.
Last synced: 15 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-line-parametric-curve-graph
A demo of creating a 3d line parametric curve graph.
3d curve graph line matplotlib numpy pandas parametric python web
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https://github.com/dipeshgoyal013/salary-data-analysis
Salary Analysis according department and agency.
analysis matplotlib numpy pandas salary sklearn-library
Last synced: 15 Apr 2026
https://github.com/lulunac27a/number-statistics-jupyter-notebook
Number statistics app in Jupyter Notebook
jupyter jupyter-lab jupyter-notebook jupyter-notebooks jupyternotebook notebook number number-statistics number-stats numpy numpy-arrays numpy-python python python-notebook python-notebooks statistics stats
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https://github.com/codehub001/age-and-gender-detection
This AI-powered project detects faces and predicts age & gender from images or video streams using OpenCV and deep learning. 🧠💡 🔹 Face Detection 👀 🔹 Gender Classification 🏷️ (Male/Female) 🔹 Age Estimation 📊 (from predefined age groups) 🔹 Live Video & Image Support 🎥🖼️
argparse deep-learning numpy opencv pretrained-model python
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https://github.com/samiyaalizaidi/nn-ml-homeworks
Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.
machine-learning machine-learning-workflow neural-networks numpy scikit-learn
Last synced: 15 Apr 2026
https://github.com/arv-anshul/campusx-graphs
Contains all the graphs provided by CampusX to learn Statistics and Algebra with some added feature.
algebra campusx-dsmp data-science matrix numpy statistics streamlit vizualisation
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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.
Last synced: 08 Feb 2026
https://github.com/anshpg/exploration-in-image-processing-digit-image-generation
This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.
cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas
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https://github.com/danish-jamil-01/kidney-tumor-detection
Demonstrating how changes in input image resolution affect the algorithm's output
disease-prediction imbalanced-learn ipynb-jupyter-notebook jupiter-notebook kidney-disease-prediction matplotlib matplotlib-figures matplotlib-pyplot numpy numpy-python opencv opencv-python pandas pandas-python pathlib python scikit-image seaborn seaborn-python tensorflow
Last synced: 01 Feb 2026
https://github.com/tanzim-prog/sentiment_analysis_ml_stringdata
The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.
accuracy-score classification confusion-matrix f1-score logistic-regression machine-learning model-evaluation modelbuilding nlp nltk numpy pandas precision-score recall-score scikit-learn sentiment-analysis
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https://github.com/rissh/titanicsurvivalpredictionusingml
Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. 🚢
data data-analysis data-science data-visualization dataanalysis jupiter-notebook machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas prediction prediction-model python python3 seaborn tenserflow tflearn titanic
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https://github.com/saumyajeet-varma/braintumor-ml-integrated-webapp
flask numpy python tensorflow venv
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https://github.com/legendarym4x/data_science
Data Science Course
jupyter-notebook keras matplotlib nltk numpy pandas scikit-learn spacy tensorflow
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https://github.com/vladimiracunadev-create/python-data-science-program
Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.
bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/oislen/randomtelecompayments
An application for randomly generating telecommunication payment data.
data-simulation multiprocessing numpy pandas payments python qmarkdown random-number-generation telecommunications unittests
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https://github.com/subratamondal1/quora-automated-text-classification
Text Classification with Bag of Words - Natural Language Processing
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https://github.com/r-papso/pynet
Deep learning library implemented in Python
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https://github.com/coueghlani/nlp
Proyecto de Procesamiento de Lenguaje Natural y Análisis de Datos
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Last synced: 08 Feb 2026
https://github.com/giihcastro/trabalho-fisica
3D VPython Electromagnetic Particle Motion Simulator
Last synced: 15 Apr 2026
https://github.com/rampal-punia/data-science-toolkit
Your Go-To Resource for Essential Data Science Related Commands, Concepts, Quick Overviews and Useful Functions.
artificial-intelligence data-science keras machine-learning matplotlib nlp nlp-machine-learning numpy pandas pythorch sql tensorflow
Last synced: 09 Feb 2026
https://github.com/sarowarahmed/predicting-kolkata-house-price
🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.
app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit
Last synced: 26 Feb 2026
https://github.com/ankits-21/smartspectro
This is Mobile Based Spectrometer
flask-application jvascript kd-tree matplotlib numpy pandas python react-native scipy
Last synced: 09 Feb 2026
https://github.com/mahmud-kandawala/simulating-covid-19-python-
This repository contains a Python program that simulates the spread of COVID-19 using Numpy and Matplotlib for calculations and visualization. The simulation offers an interactive way to understand virus dynamics and the impact of epidemiological parameters.
Last synced: 16 Apr 2026
https://github.com/carterbox/libimage
Provides large (2k) test images as NumPy arrays.
Last synced: 15 Apr 2026
https://github.com/mariam-zaidi/bike-sharing-prediction-model
Build a multiple linear regression model for the prediction of demand for shared bikes.
linear-regression matplotlib numpy pandas rfe seaborn sklearn
Last synced: 09 Feb 2026
https://github.com/harmanveer-2546/statistics-for-machine-learning
Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
inline matplotlib matplotlib-styles numpy pandas probability python seaborn statistics
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https://github.com/mikasjp/signal-processing
Signal processing playground
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https://github.com/foggysmile/ml_labs_itmo
Лабораторные работы по машинному обучению
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https://github.com/anuraganalog/random-test-case-generator
Generate Random Test Cases
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https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
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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.
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https://github.com/adriantomin/heart-disease-prediction
Predicting Heart Disease with ML 🏥🤖 Machine learning model to predict heart disease using clinical data. Includes data analysis, feature engineering, and model training.
machine-learning matplotlib numpy pandas python sklearn
Last synced: 12 Feb 2026