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: 2026-02-06 00:23:20 UTC
- JSON Representation
https://github.com/texnoforge/texnomagic
TexnoMagic library for digital Magic
gmm magic numpy python recognition scikit-learn scipy
Last synced: 28 Feb 2025
https://github.com/khaymanii/house-price-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 08 Oct 2025
https://github.com/kshitijshrivastava1903/data-science-and-machine-learning-projects
Used supervised and unsupervised machine learning algorithms for classification and regression tasks on real datasets
decision-trees kmeans-clustering knearest-neighbor-algorithm linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas random-forest-classifier seaborn support-vector-machines
Last synced: 31 Dec 2025
https://github.com/anish202020/real-time-emotion-face-detection
The primary purpose of this website is to detect emotions in real-time using facial expressions captured via a camera.
fer keras numpy opencv python streamlit tensorflow
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https://github.com/Zion-Dev1/E-commerce-Analysis
Short machine learning project which analyses customer behaviour ๐
analysis clustering ecommerce machine-learning numpy pandas sklearn
Last synced: 24 Oct 2025
https://github.com/vaibhav-kesarwani/online_payment_fraud_detection
๐๐ณ ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐ฃ๐ฎ๐๐บ๐ฒ๐ป๐ ๐๐ฟ๐ฎ๐๐ฑ ๐๐ฒ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป is a data science project that uses machine learning to identify fraudulent transactions in online payment systems. The project analyzes transaction data to detect suspicious activity, helping to enhance security and reduce financial losses. ๐จ๐
juypter-notebook kaggle-dataset numpy pandas plotly python3 sklearn
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https://github.com/luluw8071/neural-network-from-scratch-using-numpy
A linear neural network from scratch using Numpy for training MNIST Dataset
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https://github.com/mikediessner/benchfuncs
Benchmark functions to test optimisation algorithms.
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https://github.com/MITHILESHK11/Steganography-App-Aicte-Internship-Cybersecurity-Edunet-Foundation
Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.
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https://github.com/rudra00434/codenova.devs
GEN AI project
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Dagster Portuguese Grades Model.
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https://github.com/mmsaki/whale_portfolio
Determine which Whale portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.
datetime finance jupyter-notebook matplotlib numpy pandas pathlib python quantitative-finance seaborn stock-market trading-strategies
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https://github.com/clayrisser/math-playground
Personal math playground
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https://github.com/faisal-khann/comprehensive_banking_portfolio
This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.
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https://github.com/bl0nder/regressify
A multi-task neural network coded from scratch that performs simultaneous regression and classification.
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https://github.com/jilliennelapid/finalproject_group53
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https://github.com/savernish/forgenn
forgeNN is a in-development purposeโbuilt neural network framework combining a transparent NumPy autograd engine with a Kerasโlike API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
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https://github.com/sentustudio/cookiecutter-ciencia-datos
Template para proyectos de ciencia de datos e ingenierรญa de datos
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https://github.com/khaymanii/big_mart_prediction_model
This model was built using Python and Logistic Regression Algorithm
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https://github.com/rajharit77/weather-project
Repository for exam on the openweathermap api's project
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https://github.com/a3ro-dev/weather-prediction-application
a weather prediction application built using Streamlit. The application predicts future temperatures and weather types based on past trends. It provides a sleek and intuitive user interface for input and displays the predictions dynamically.
charts mathematics matplotlib numpy plotting python python3 streamlit weather weather-app weather-forecast weatherprediction webapp
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https://github.com/keizerzilla/python-icp
Implementaรงรฃo do algoritmo ICP (Iterative Closest Point) para nuvens de pontos 3D usando Python.
icp matplotlib numpy open3d python
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https://github.com/datarohit/car-evaluation--classification
This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.
classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn
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https://github.com/socaity/media-toolkit
Web-ready standardized file processing and serialization. Read, write, convert and send files. Including image, audio, video and any other file. Easily convert between numpy, base64, bytes and more.
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https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset
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https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python
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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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https://github.com/moindalvs/assignment-basic-stats-level1
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https://github.com/mchenryspagg/prosper-loan-project
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https://github.com/chriszethird/image-recognition-without-neural-network
After working on a end year project for University, showcasing the better energetic efficiency of Neuromorphic comparing two programs, I've decided to improve my second algorithm. You'll find 3 files of codes : the main programm, the calculation of its accuracy and the test on the MNIST data-base.
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Code for "Computational Methods For Ultrafast Quantum Physics"
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Discount NumPu implementation using barebones Linear Algebra concepts
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Predicting Delivery Time Using Sorting Time
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https://github.com/spamfromaditya/drugs-consumption-prediction-model-eda-bagging-classifier
Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.
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https://github.com/jovicdev97/financial-loan-datascience-notebook
using numpy and pandas to analyze a synthetic loan dataset with python
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https://github.com/ritwika-das-gupta/flight_price_prediction
Flight price Prediction is made using decision tree model and Machine learning concepts
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Simulate and visualize stock market behavior
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https://github.com/sudip-13/plant-disease-detection
Plant disease detection from leaf uses machine learning to identify diseases for early intervention
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https://github.com/cosmoquester/numpy-neural-net
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https://github.com/rezapace/number-generator
Proyek ini adalah sebuah program yang digunakan untuk menghasilkan deretan angka dengan langkah tertentu dan menambahkan teks setelah setiap angka. Program ini mendukung berbagai metode untuk menghasilkan angka, termasuk penggunaan CuPy untuk memanfaatkan GPU, serta penggunaan threading untuk meningkatkan kinerja.
colab cupy custom generator jupiter kumal link number numpy pyhon webkumal webkumal-projek
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Analysis of hate crimes in Spain between 2014 and 2017 using official data
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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 buttonsโjust move your hand to set the volume!
handgesture mediapipe numpy opencv os pycaw python python3 volume-control
Last synced: 19 Oct 2025
https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies
This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.
activelearning cuda entropy kldivergence margin numpy python pyto uncertainty
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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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AI with Python playground
artificial-intelligence numpy python3 vagrant
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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
Last synced: 20 Oct 2025
https://github.com/vgvr0/analisis-de-datos-con-streamlit-numpy-pandas-y-matplotlib
Sistema completo de anรกlisis y visualizaciรณn de datos cinematogrรกficos que proporciona insights detallados sobre pelรญculas, incluyendo anรกlisis financiero, puntuaciones, tendencias temporales y un sistema de recomendaciรณn. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de pelรญculas.
matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit
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https://github.com/sun-data/ndoptimize
Numba-accelerated minimization of objective functions.
astropy minimization numba numpy optimization scientific-computing
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https://github.com/juzershakir/predicting_boston_housing_prices
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree
Last synced: 22 Oct 2025
https://github.com/crispengari/netflix-statistics
This is the visualisation of two categories of netflix movies which are: * movies * tv shows
data-science datafram jupyter-notebook matplotlib numpy pandas python
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https://github.com/theadeelahmed/mall-customers-segmention
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering
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https://github.com/abdulsamie10/animalclassification-cnn
Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.
animal-classification cnn colab-notebook computer-vision convolutional-neural-network convolutional-neural-networks deep-learning jupyter-notebook keras machine-learning numpy python python3 pytorch
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https://github.com/muhammadusman-khan/e-commerce-store-eda
Exploratory Data Analysis on E-commerce store data to uncover insights about sales trends, customer behavior, and product performance using Python libraries like Pandas, NumPy, and Matplotlib/Seaborn.
data-analysis data-science data-visualization e-commerce eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 23 Oct 2025
https://github.com/deepcloudlabs/dcl702-2020-sep-16
DCL-702: Data Analytics using Python
data-analytics numpy pandas python python-3
Last synced: 24 Oct 2025
https://github.com/akansharajput280799/covid19-impact-analysis-usa
Data Analysis and Predictive Modeling to study COVID-19 impact across age groups, regions, and seasons in the USA.
classification-algorithm clustering-algorithm data-preprocessing data-visualization descriptive-statistics exploratory-data-analysis matplotlib numpy pandas seaborn
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https://github.com/zhanziyuan/pixelpuzzle
Encode/decode images using Base64 or shuffle/recover the pixels of images.
anime encryption image image-processing 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/hifly81/photox
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https://github.com/yahiazakaria445/image-classification-using-vgg-16
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matplotlib numpy opencv pandas sklearn tensorflow
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https://github.com/ksprugevics/fractals
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Python for Data Science
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https://github.com/bilgenurbekar/turkishcyberbullying
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https://github.com/mustafaozvardar/image-classification-webapp
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artificial-intelligence computer-vision keras numpy python streamlit streamlit-webapp tensorflow
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https://github.com/dipeshgoyal013/salary-data-analysis
Salary Analysis according department and agency.
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https://github.com/manuel-lang/numpymongo
A python package to export NumPy data to MongoDB
Last synced: 25 Oct 2025
https://github.com/toxe/python-plotting
Python Plotting
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Last synced: 25 Oct 2025
https://github.com/miasanromen/math-modeling
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math matplotlib numpy probality-theory scipy-stats statistics
Last synced: 25 Oct 2025
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.
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Last synced: 28 Jan 2026
https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning ๐๐ฐ This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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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/wrighang/06_python-api-challenge
Module 6: Python APIs
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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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Last synced: 26 Oct 2025
https://github.com/anhquoc533/neural-network
A Neural Network framework for building Multi-layer Perceptron model.
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https://github.com/ersinerzurum/monai
2D-3D segmentation using monai
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Last synced: 26 Oct 2025
https://github.com/pushtogithub23/projectilemotion-simulation
This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.
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https://github.com/rezasharifi82/lesson_extractor
Extract all possible "ู ุนุงุฑู" courses @ Ferdowsi University of Mashhad ,FUM
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https://github.com/yc1909/mental_health_analysis
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https://github.com/pramodyasahan/grade-predictor
This project aims to predict student performance based on various features such as job, study time, failures, absences, and first and second period grades. The project utilizes a linear regression model from the scikit-learn library in Python.
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https://github.com/mondalbidisha/landmark-recognition
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https://github.com/lohiyah/real-estate-price-forecast
A Python-based app predicting real estate prices using machine learning. Built with Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data processing and visualization, and Flask for the web interface.
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https://github.com/shohail-dev/python-sales-analysis
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https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders
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Last synced: 26 Oct 2025
https://github.com/r-mahesh45/reccomendation-system
This project involves building a recommender system using cosine similarity to measure the similarity between items or users. It leverages numerical data to provide personalized recommendations. The model focuses on extracting meaningful insights and improving decision-making processes.
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Last synced: 27 Oct 2025
https://github.com/rifkyiqbal52/data-analytics-and-visualization-projects
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Last synced: 27 Oct 2025