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/keizerzilla/como-funciona-meshgrid
Apontamento breve explicando como a função meshgrid do Numpy funciona.
Last synced: 28 Apr 2026
https://github.com/azaz9026/python_library_numpy
NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...
array jupyter-notebooks numpy python3
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https://github.com/rishant/data-science-learning-2025
data science learning 2025
data-science jupyter numpy pandas python python3
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https://github.com/hai4320/ml_ai_notebook
All my note about ML, AI and Data Science
ai machine-learning numpy pandas scikit-learn
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https://github.com/gregoritsch3/dl_cnn_resnet50_digitrecognition
A Deep Learning Computer Vision project on the MNIST Digit Dataset. The project demonstrates the use of four TensorFlow Neural Network architectures, ranging from a basic Shallow Sigmoid Model to a Deep Convolutional Model constructed using the FunctionalAPI, and even a modified Resnet50 Model. Includes Error Analysis and test runs on real images.
cnn convolutional-neural-networks cv2 keras matplotlib numpy resnet-50 tensorflow
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https://github.com/rajivaleaakash/customer-churn-prediction
A machine learning project focused on predicting customer churn using various data analysis and modeling techniques. The repository includes data preprocessing, feature engineering, exploratory data analysis (EDA), model training, evaluation, and visualization to help businesses identify customers at risk of leaving.
churn-prediction classification customer-churn data-analysis data-science gridsearchcv imblearn machine-learning numpy pandas pyhton randomsearchcv scikit-learn
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https://github.com/mttgdd/openfabmap-python3
Pybind11 and numpy array bindings to openFABMAP
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https://github.com/yanisdib/somint
Somint - AI-powered Trading Card Grading
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https://github.com/udipta14/historical-olympic-games-eda-python
Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.
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https://github.com/pedronjorge/average-face
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
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https://github.com/iv4n-ga6l/crowd-move-simulation
Crowd move simulation in python
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https://github.com/dhruvil-26/python-projects
This repository contains Python projects showcasing data analysis and visualization. 1. IMDB Movie Analysis: Analyzing movie trends, genres, and ratings. 2. Loan Default Analysis EDA: Exploring factors contributing to loan defaults.
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https://github.com/alain-godo/spotify-popularity
A simple analysis and modeling for prediction of the popularity of songs on Spotify
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in this repository i am going to perform some datascience techinques on the datasaet in order to get the valuable insights with the help of python libraries , packages etc.
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Exploring the full Numpy library for DS
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A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.
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https://github.com/niteshchawla/nc-walmart-casestudy
The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers:.
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https://github.com/rohansoni45/ipl-win-predictor
A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.
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https://github.com/sanchezluys/inmersion-en-datos-con-python-2024
Inmersión en Datos con Python Julio 2024
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Proyecto del curso Algebra Lineal - UTADEO
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Python implementation of the Galton board
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https://github.com/fimbres/numpy-start
A crash project with the most important numpy functions and methods, used in data science, AI and machine learning.
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https://github.com/alisonmitchell/titanic
Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.
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A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.
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Проекты из Яндекс Практикума "Специалист по Data Science"
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Applying the Least-Square-Method to Curve-Fit in python using Numpy.
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https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis
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https://github.com/akashash01/decision_tree
A very specific type of probability tree that enables you to make a decision on certain process(chance event outcomes, resources cost, utility).
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https://github.com/alz-11/ftoc
Fahrenheit to Celsius conversion analysis, comparing accurate and approximate methods with visualizations and error analysis.
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Python library for Rising Storm 2: Vietnam physics objects simulation and automated data collection.
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Practise with matplotlib, pandas, and numpy.
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https://github.com/sunnyrao07/water-quality-analysis
A machine learning project that predicts water potability based on chemical and physical attributes, using models like Logistic Regression, Random Forest, and XGBoost.
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End-to-end Python implementation of Ma et al.'s (2025) matrix-variate diffusion index models for macroeconomic forecasting. Features α-PCA factor extraction, supervised screening, and ILS estimation for high-dimensional forecasting with preserved structural information.
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https://github.com/thaivincent/fft_image_compression
A simple image compression program using FFT and numPy
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https://github.com/ellennewerkla/eda_students_performance
EDA em Python com Pandas, Matplotlib e Seaborn para identificar padrões de desempenho em estudantes.
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https://github.com/matheusvazdata/retail-sales-forecast-linreg-sklearn
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https://github.com/hmotez/medclaimml
An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.
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https://github.com/hanchiang/python-data-science-handbook
Learn data science with python, numpy, pandas from the book "Python Data Science Handbook: Essential Tools for Working with Data"
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https://github.com/hajaarh/malaria_hematie_cnn
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https://github.com/prithviraj-2003/cognifyz-data-science-internship
🎓 Data Science Internship at Cognifyz Technologies 📅 Duration: 2 Months 🧠 Worked on real-world restaurant data 🗂️ Completed structured tasks across 3 levels 📌 Tasks focused on EDA, data preprocessing, visualization, and analysis 📎 Task descriptions provided in an attached PDF
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https://github.com/adalbertobrant/fundamentalista
Analise de Graham e de Greenblatt para escolha de ações baratas e com bom potencial de crescimento ao longo prazo
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https://github.com/abhishek010397/tigerprediction-machinelearning
Machine Learning Prediction Model Using Multiple Regression to predict Tiger Population in India
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https://github.com/kevinmbeaulieu/machine-learning-practice
ML models & data processing utilities written from scratch as practice.
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https://github.com/null-byte-00/fargasht
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Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.
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https://github.com/monddavila/online-retail-data-analysis
Online Retail Exploratory Data Analysis with Python
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https://github.com/abideen-olawuwo/sign-language-lambda
A model deployed to AWS Lambda
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https://github.com/harmanveer-2546/bird-species-prediction-using-deep-learning
Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.
3d-graph callback deep-learning eda gui gui-application image-generator imageclassification keras-tensorflow matplotlib maxpooling mobilenetv2 numpy opencv pillow plotly python seaborn transfer-learning visualization
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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
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https://github.com/snehasunilnair/image-processing-projects
Image pre-processing techniques using OpenCV.
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https://github.com/mohamed15058/cognifyz-data-science-internship-restaurant_data_analysis_and_prediction-
Restaurant_Data_Analysis_and_Prediction
fature-engineering machine-learning matplotlib numpy pandas sklearn
Last synced: 29 Apr 2026
https://github.com/greatepee/book-recommendation-system
Book Recommendation System
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Last synced: 12 Mar 2026
https://github.com/sophiaas/transform-datasets
Datasets for modeling transformations in data.
Last synced: 29 Apr 2026
https://github.com/amirali5/numpy
In this repo, all about NumPy which basically a Python Library used for multidimensional array. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely.
Last synced: 30 Apr 2026
https://github.com/mzayles/analise-descritiva.py
Curso Programação em Python para Data Science | Análise descritiva e mensuramento de dados de um report consolidado utilizando matplotlib.
matplotlib numpy pandas python
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https://github.com/victor-gp/tfg-h16b
The code for my bachelor's thesis, a numerical exploration of the second part of Hilbert's 16th problem
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https://github.com/omarsaad21/it-salary-eda
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https://github.com/nikhilsree5/walmartcasestudy
Analysis of Customer Spending Habits at Walmart Inc
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https://github.com/vishal-verma-96/honey_production_analysis_using_python
In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.
matplotlib numpy pandas python-3 python-visualization seaborn
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https://github.com/hiftd22/wpattern
📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.
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https://github.com/tapishr/numpy-rnn
Implementation of an RNN using numpy library in python
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https://github.com/ebadshabbir/naive_bayes_classification-gaussain-
A Python project that applies Naive Bayes classification to predict user purchases based on age and salary using the Social Network Ads dataset. The project includes data preprocessing, model training, prediction, and visualization of decision boundaries for both training and test datasets.
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https://github.com/rijul007/smartwatch-data-analysis-using-python
Smartwatch Data Analysis to uncover insights into health and activity patterns using Python for data cleaning, exploratory analysis, and interactive visualizations.
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https://github.com/alirezasaharkhiz9/python-for-dataanalysis
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https://github.com/fikri-rouzan/student-stress-levels-classification
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https://github.com/kkkaan/tensor-library-403-hw1
A numpy like library for tensor (gergen) operations.
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https://github.com/redinfinitypro/python-task-manager
Rating: (7/10): The Python Task Manager, is a user-friendly interface using tkinter library for system monitoring and management. It displays detailed system process information using psutil, with interactive features.
matplotlib numpy psutil pygetwindow tkinter
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https://github.com/ayushshrivstava/es654_prereqtest
Prerequisite test for the Machine Learning course ES654
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Last synced: 30 Apr 2026
https://github.com/danchik12/habr_scraping
Parsing Habr articles and saving in csv format
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Last synced: 30 Apr 2026
https://github.com/isaacalves7/nvidia-cuda
👁️🗨️📗 It's a repository of Nvidia CUDA programming.
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https://github.com/johassel/feed_forward_neural_network
Fully-connected feed-forward neural network based on the couse "Python for Machine Learning" at TU Berlin WiSe 24/25
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Last synced: 30 Apr 2026
https://github.com/ddeepanshu-997/datascience-e-commerce-shopping-details-
in this project i am going to apply data preprocessing technique on the dataset in order to clean the data using libraries, etc. make some insights/analyses to findout the hotpicks of the shopping along with some data visualsation libraries to get the trends and many more aspects in order to make a small contribution to the field of data science
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Last synced: 30 Apr 2026
https://github.com/darinochka/course_python_iad
ДЗ\Семинары майнора "Интеллектуальный анализ данных"
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Last synced: 30 Apr 2026
https://github.com/beyzabasarir/spotify-youtube-eda
Exploratory Data Analysis of global songs' performance metrics on Spotify and YouTube with Python, using Jupyter Notebook.
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Last synced: 30 Apr 2026
https://github.com/omogbolahan94/google-play-store-app-analysis
Data exploration, data cleaning, interactive data visualisation and insight presentation
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https://github.com/abimathi03/exploratory-data-analysis
Titanic Dataset: Data Cleaning & Exploratory Data Analysis (EDA)
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https://github.com/maximlevchenko/python-course-convolution-orb-detector-data-processing-2d-game
This repository contains a collection of projects developed during a university Python course. Each project explores different aspects of data processing, analysis, and computer vision.
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Last synced: 30 Apr 2026
https://github.com/manorohith-03/attendance-system-using-face-recognition
The system leverages the Python programming language and several powerful libraries for image processing and face recognition. The ultimate goal is to provide a more efficient, accurate, and user-friendly attendance tracking solution.
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Last synced: 30 Apr 2026