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/tkc/node-neural-network
Built with only pure typescript, neural network iris sample.
javascript machine-learning neural-network node numpy typescript
Last synced: 09 Apr 2026
https://github.com/subratamondal1/heart-attack-prediction
Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.
data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn
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https://github.com/hotequil/computer-vision
Study about computer vision.
jupyter-notebook matplotlib numpy python scikit-learn
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https://github.com/adithaker/basic_nlp
🖨 Basic Data Viz; Sentiment Analysis and Cosine Similarity for starting NLP
cosine-similarity datavisualization jupyter-notebook matplotlib-pyplot nlp numpy pandas python sentiment-analysis sklearn textsimilarity wordembeddings
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https://github.com/theblueberrycompendium/keras-movie-classification
This is an basic application that uses Keras
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https://github.com/soumyapro/hand-tracking-volume-controller
This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.
mediapipe numpy opencv-python pycaw time
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https://github.com/adityashinde716/generating-images-with-gan-generative-adversarial-network-
Built a image generator deep learning model using GAN (Generative Adversarial Network) using MNIST dataset for generation.
adam-optimizer batchnormalization binarycrossentropy checkpoint deep-learning deep-learning-algorithms discriminator gan generative-adversarial-network generator glob imageio keras machine-learning matplotlib neural-network numpy os tensorflow
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https://github.com/disney35/stock-prices-dashboard
A dashboard to analyze, predict, and visualize stock prices using Python & LSTM
ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance
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DASC4850 Final Project where I did EDA to determine the survivability of Titanic guests depending on Age, Gender, Wealth, etc.
data-science data-visualization matplotlib numpy pandas python random-forest-classifier
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Building classic 'Minesweeper' game from scratch using Pygame with VS Code.
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Image processing.
jupyter-notebook matplotlib numpy opencv python
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Real-time hand gesture recognition using computer vision and deep learning. Collect gesture images, train a model with Google Teachable Machine, and classify gestures live for applications like drone control or human-computer interaction.
computer-vision cvzone handgesture-recognition keras numpy python teachable-machine
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data-science data-visualization jupyter-notebook machine-learning matplotlib nlp numpy pandas sklearn string textblob
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https://github.com/isratafrin826/linear-regression-model
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biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow
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joblib numpy pandas python3 sklearn streamlit
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https://github.com/yahiazakaria445/arabic-answer-grading-using-sequence-models
An NLP project on Arabic data using LSTM model
matplotlib nltk numpy pandas scikit-learn tensorflow
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https://github.com/NetBr3ak/Planetary-System-Simulation
Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.
astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application
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https://github.com/ercodex/predicting-new-medicines-with-sgd-classifier
"Shittiest Model of the Competition" award winner!
classifier-model dask kaggle-competition machine-learning numpy python scikit-learn
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https://github.com/lluispp/hunting_for_exoplanets_with_ai
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ai challenge exoplanets nasa numpy python spaceappchallenge-2025 spaceapps swai web
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https://github.com/khushneetsingh/datasanity
DataSanity is a AI-powered web application for dataset cleaning, synthetic data generation, vectorization, and data enrichment using natural language prompts.
cerebrus exa faiss-vector-database llm nextjs numpy pandas serperdev sqlite tailwindcss
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https://github.com/alex-s2222/mem_chat_bot
телеграмм бот для создания gif из текста введённого пользователем
cv2 google-api moviepy numpy python python-telegram-bot requests
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https://github.com/davityak03/object-detection-in-images-using-yolo
This project demonstrates object detection using the YOLO (You Only Look Once) model, providing a solution for detecting and labeling multiple objects within images or video streams. This implementation covers image preprocessing, model inference, and visualization of detected objects.
computer-vision matplotlib-pyplot numpy object-detection opencv-python pandas python yolo
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https://github.com/piyushxbhardwaj/credit-card-fraud-detection
In this project, we focus on developing a machine learning model to detect fraudulent transactions within credit card data. Credit card fraud poses a significant challenge to financial institutions and consumers globally, with traditional rule-based detection systems often struggling to adapt to new fraud tactics.
matplotlib numpy pandas python scikit-image seaborn
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https://github.com/rachakondaganesh/superstore-sales-data-analysis-project
Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.
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https://github.com/lewis-morris/image_augment
Image augmentation for CNN's. Aiming to increase generalization.
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Data analysis and visualization of IPL 2022 matches using Python, Pandas, Matplotlib, and Seaborn. Includes insights on match outcomes, player performances, toss trends, and venue stats with 12+ charts.
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https://github.com/yappy2000d/pps-ndarray
Multi-dimensional array implementation
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PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
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https://github.com/lorenzorottigni/dl-houses
Deep Learning python bootcamp: exploratory data analysis & deep learning on houses price dataset
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https://github.com/dmarks84/coursework_project_image-text-recognition
Project for University of Michigan Python Programming Specialization -- Read in documents with images and text, and utilized CV libraries/packages to extract specific types of images and text, pairing them together
classification computer-vision image-classification numpy pandas programming python text-classification
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https://github.com/gurramankit/censusproject_ml_randomforest
The objective of this project is to build a classification model using the Census Income dataset from the UCI Machine Learning Repository. The model predicts whether an individual's income exceeds $50,000 per year, based on their demographic and employment-related attributes.
matplotlib numpy pandas python random-forest scikit-learn seaborn
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https://github.com/cinnaavox/loan-prediction
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https://github.com/sabdikay/analysis-of-biodiversity
This project analyzes biodiversity data from the National Parks Service, focusing on species in various park locations. Conducted in Jupyter Notebook, it uses pandas, matplotlib, NumPy, seaborn, and chi2_contingency for analysis and visualization.
data-analysis data-analysis-python data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/tnel7/data-science-yandex-practicum
Проекты из Яндекс Практикума "Специалист по Data Science"
data-science machine-learning nlp-machine-learning numpy pandas seaborn sklearn
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https://github.com/amiridk/statistics-and-algebra-in-python
simple and important statics operations and Famous statistical problems , also algebra operations
algebra itertools matplotlib numpy pandas python scipy seaborn static
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https://github.com/chandkund/housing-price-prediction
Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics
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https://github.com/yaswanth1702/python
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https://github.com/badranalyst/time-series-analysis-of-global-trends-in-diet-gym-and-finance
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data-analysis dataset matplotlib-pyplot numpy pandas python seaborn time-series
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https://github.com/anjaliwork20/heart-failure-prediction
Heart Failure Prediction in Humans
failure-detection heart heart-disease machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning seaborn svc-model
Last synced: 21 Jan 2026
https://github.com/salma-mamdoh/the-android-app-market-on-google-play-project
My project aims to practice Data Analysis and Data Visualization on DataCamp
data-analysis data-visualization datacamp jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/priyanshulathi/air-quality-index-prediction
Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/abideen-olawuwo/loancredit
A loan default payment model
linear-regression numpy pandas python seaborn sklearn xbgoost
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https://github.com/ramchaik/cinebrain
CineBrain uses ML & NLP to analyze movies and recommend similar ones based on user preferences through cosine similarity.
cosine-similarity flask htmx kaggle machine-learning movie-recomendation-system nlp nltk numpy pandas sklearn tailwind tmdb tmdb-api unsupervised-learning vectorization
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https://github.com/lorenzorottigni/ml-breast-cancer
Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
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https://github.com/sudarshanc00/smishing
This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.
nltk numpy pandas python scikit-learn scipy
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https://github.com/ricardorobledo/paymentcardfrauddetection2025
Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.
imbalanced-learn matplotlib numpy pandas python3 scikit-learn search
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Predict which type of pokemon it is using CNN
data-science deep-learning keras numpy python tensorflow utils
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https://github.com/mr-chang95/udacity-starbucks-challenge
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
data data-science data-visualization numpy pandas sklearn
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/umesh-01/python
Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.
ai application-development artificial-intelligence deep-learning machine-learning matpotlib ml nlp numpy open-source pandas python python-framework python-libraries python3 web-development
Last synced: 07 Apr 2026
https://github.com/jonad/quora_w2v
In-domain word embedding using Quora dataset.
gensim-word2vec matplotlib numpy pandas python3
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https://github.com/angelarreola/ai_notes
Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.
ai matplotlib numpy pandas phaserjs python scikit-learn
Last synced: 21 Jan 2026
https://github.com/jsimell/sleepanalysis
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data-analysis matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
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/aniruddhakhedkar/eda_to_evaluate_bank_telemarketing_campaign_for_revenue_enhancement
Exploratory_Data_Analysis_Python_Project_2
datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis
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https://github.com/al-ghaly/stock-market-simulation
Simulate and visualize stock market behavior
matplotlib numpy python python-visualization
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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/cosmoquester/numpy-neural-net
This is neural network samples implemented with numpy without machine learning libraries.
implementation neural-network numpy
Last synced: 22 Jan 2026
https://github.com/mbarbetti/hello-snakemake
Simple implementation of snakemake to sample and plot data
hello-world matplotlib numpy python snakemake
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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/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
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https://github.com/muhammadshavaiz/hand-sketch-recognition--inceptionv3
The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.
inception-v3 matplotlib numpy pandas python pytorch
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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/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
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https://github.com/juzershakir/train_a_smartcab_to_drive
From just cab, to Smart-Cab
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https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
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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/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
Last synced: 09 Mar 2026
https://github.com/satyacoder29/crm-analytics-power-bi
CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊
advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau
Last synced: 14 Apr 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/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
Last synced: 02 Apr 2026
https://github.com/yashaka/learncv
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https://github.com/alefair/ds
Data Science projects
ipython jupyter matplotlib numpy pandas python sklearn
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https://github.com/manuel-lang/numpymongo
A python package to export NumPy data to MongoDB
Last synced: 23 Feb 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/jsd115/tensorflow_bankfrauddetection
This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn
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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.
artificial-intelligence artificial-neural-networks deep-learning framework machine-learning machine-learning-algorithms neural-network neural-networks numpy python3
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https://github.com/rezasharifi82/lesson_extractor
Extract all possible "معارف" courses @ Ferdowsi University of Mashhad ,FUM
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https://github.com/salvatoreamaddio/pipeline-assessment
Pipeline Simulation
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https://github.com/lintangwisesa/python_pillow_image_array
Convert 🖼 image to 📜 Numpy array using Pillow [Python]
Last synced: 07 May 2026
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.
fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library
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https://github.com/sahraiidle/email-spam-detector
Email/SMS spam detector with a Flask UI/API, tuned ML models (TF‑IDF + SVM/LogReg/NB), and a ready-to-run web form plus JSON endpoint for predictions.
data machine-learning numpy pandas python randomforest scikit-learn spam-classifier spam-detection svm
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https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
Last synced: 15 Apr 2026
https://github.com/andres29ac/website_heatmaprisk
Mapa hecho con Streamlit y Folium para mostrar la distribución delictiva de cada distrito de Trujillo mediante Mapas de Calor.
folium-maps heatmap-visualization numpy pandas ploty python stadistics streamlit
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https://github.com/maia-bastos/an-lise-descritiva-ibge
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https://github.com/subh888999/car-prices--analysis-projects
This repository houses projects focused on data collection, assessment, cleaning, visualization, and analysis. It includes workflows and methodologies for handling data, from initial gathering and evaluation to processing, visualizing insights, and performing in-depth analysis
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