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/prajapatsur/data-analytics-1
Wanted to revise all the basic concepts of the data cleaning, transformation and analysis, so worked on this project. Took a little bit help of AI tool to implement some fresh concepts.
matplotlib numpy pandas sklearn
Last synced: 17 Apr 2026
https://github.com/elam-parithi/singapore_flatprice_predicting
Flat price prediction with Machine learning tools and python.
matplotlib numpy pandas scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/kiarashyavari/python_interview
Practice intermediate to advance topics of Python here
decorators generator multiprocessing multithreading numpy pandas python python3
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https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis
This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.
matplotlib numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis
Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.
forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed
Last synced: 02 Apr 2026
https://github.com/arnie1x/massive-dataset-lab
This project involves basic data manipulation with JSON files, focusing on tasks related to data processing of the MASSive dataset and file management.
data-science numpy pandas pandas-dataframe python3
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https://github.com/nikhilgugwad/sentiment-analysis
Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.
Last synced: 17 Apr 2026
https://github.com/christiemj/clock-drift-simulation
A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.
allan-variance atomic-clocks cesium-ion clock-drift matplotlib monte-carlo-simulation numpy open-science pandas physics precision-metrology python quantum-metrology research-software scipy simulation vacuum-fluctuations vacuum-noise
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https://github.com/bettenoch/yolo_real_time_object_detector
The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.
numpy object-detection object-tracking pandas python3 real-time-processing ultralytics yolov8
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https://github.com/sofiakhutsieva/analytical_report_for_producers_of_educational_programs
Подготовка аналитического отчета (Проект в skillbox )
analytics matplotlib numpy pandas seaborn
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https://github.com/tashi-2004/deep-learning-grid-world-q-learning
Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!
agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training
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https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
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A computer vision project aiming to classify random images uploaded by the user.
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https://github.com/balajig-24/titanic_data_analysics-
Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
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Python project where the 'A Start Search' algorithm and a simulation of the agent's path with animations were implemented.
cv2 ipython iterto jupyter-lab jupyter-notebook mathplotlib numpy pip python python-env python3
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https://github.com/varakanthamsaihruthikreddy975/champo_carpets_case_analysis_python
the champo carpets case study Analysis in python, this is still under development this will be a more comprehensive analysis than previous one in R. I have the complete version of code in R refer to this link - ( https://github.com/VarakanthamSaiHruthikReddy975/Champo_Carpets_Case_Study_Analysis)
case-analysis jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python3 seaborn
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https://github.com/separatrixxx/aviahack5
✈️ Aviahackathon 5
fastapi http-server numpy pandas pyside6 python react sqlite3 tailwind-css typescript
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https://github.com/louisblankemeier/numpytex
Latex script generator that generates an aesthetically appealing table using a numpy array.
latex numpy script-generator table
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https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
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Processamento de Imagens com OpenCV
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基于Matplotlib+Numpy+Pandas搭建的数据分析项目。
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https://github.com/yuvrajsaraogi/sales-prediction-using-python
Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.
data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql
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https://github.com/compcode1/nfl-analysis
The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.
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https://github.com/27ahmad/movie-recommendation-system
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https://github.com/andryadsm/predicting-house-prices
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https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql
Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!
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This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.
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This project applies Logistic Regression to predict diabetes in patients using the Pima Indians Diabetes Dataset. It covers the full data science lifecycle — from data imputation and exploration to model training, evaluation, and insights.
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The ParkSpotter project is designed to detect the occupancy status of parking spots in a simulation environment. Using a toy model, a camera system, and a machine learning model, this system identifies whether a parking space is EMPTY or NOT EMPTY in real-time.
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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...
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https://github.com/ksasi/dog-breed-classifier
Dog Breed Classifier
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Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
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A hand gesture-based drawing app that lets you create art in the air using hand movements
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https://github.com/anmolbansal7/lost-and-found
Content-Based Image Retrieval
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https://github.com/ben854719/nvidia---gen-ai-
The goal of the project is to analyze and predict with the use of AI for the revenue of Nvidia
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Welding Defect Detection
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lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn
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Calculator of roots of equations and system of linear algebraic equations.
numerical-methods numpy python scipy
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jupyter-notebook numpy pandas python
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https://github.com/al-ghaly/prosper-loans-analysis
A statistical Analysis Project, to analyze the data of a finance company’s loans Using Python packages (pandas – NumPy – seaborn – matplotlib)
data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics
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https://github.com/ahmaruff/kmeans-img-compress
Simple python image compression library using K-Means clustering
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La aplicación carga una imagen en escala de grises y utiliza los puntos de menor luminosidad (más oscuros) para dibujar líneas de colores que crean una estructura parecida a una galaxia.
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Q-learning algorithm from scratch in python for optimal path finding
grid grid-search matrix numpy python qlearning-algorithm reinforcement-learning
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https://github.com/md-emranhossen/deep-learning-hub
Welcome to Deep Learning Playground, a personal repository for exploring and experimenting with deep learning concepts, architectures, and techniques. This repo serves as a hands-on space for implementing and understanding deep learning models, from fundamental neural networks to advanced architectures.
cnn-model deep-learning deeplearning gan generative-adversarial-network neaural-network numpy pandas pthon tensorflow
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https://github.com/amruta33/melanoma-detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
keras machine-learning numpy pandas python3 sckiit-learn tensorflow
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https://github.com/amdjadouxx/my_neural_network
implementation of a neural network library
deep-neural-networks ia machine-learning numpy python3
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https://github.com/shortthirdman/distributedlagmodels
Distributed Lag Models in Dynamic Model Time Series
disributed-log-models numpy pandas python statsmodels time-series
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https://github.com/momo790-m/startup-profit-prediction
Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data
assumptions business colab-notebook linear-regression machine-learning matplotlib numpy pandas preprocessing seaborn skit-learn sklearn
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A simple analysis and modeling for prediction of the popularity of songs on Spotify
linear-regression machine-learning numpy pandas random-forest sckiit-learn spotify tree-decision
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https://github.com/jcardonamde/reto_cobranzas_sector_financiero
This project analyzes data provided by the organization iData, focusing on the collection process of a financial company. The objective is to develop segmentation strategies that enhance portfolio recovery and improve debt management.
data-science kmeans-clustering machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn
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https://github.com/mwoss/opencv-raspberry-pi
Video capture on Raspberry Pi/PC using OpenCV
numpy opencv python rapsberrypi video-capture
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https://github.com/csanri/simplenn
Simple Neural Network for MNIST Classification
machine-learning-algorithms neural-network numpy python
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https://github.com/vyjayanthipolapragada/data_analytics_medical_appointments
Analyzing the data set which consists of medical appointments to draw insights about patient's no-show scenarios
data-analysis data-analytics data-cleaning data-visualization data-wrangling jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 19 Apr 2026
https://github.com/renukadhule/airbnb_listings_and_reviews_python_analysis
Explore Airbnb listings and reviews from over 250,000 properties across 10 major cities. Dive into data on listing details, host information, pricing, and customer reviews for better insights
matplotlib-pyplot numpy pandas python seaborn
Last synced: 19 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_03
Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.
latex linear-regression matplotlib numpy pandas python scikit-learn
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https://github.com/gemmus/tictactoe-ai
Built with minimax algorithm, using pygame.
minimax-algorithm numpy oop pygame python tic-tac-toe
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https://github.com/abideen-olawuwo/language-detection
A language detection app
countvectorizer multinomial-naive-bayes numpy pandas
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https://github.com/montanaz0r/suicide-rate-analysis
Testing a significance of the correlation between a suicide rate and a number of psychiatrists and psychologists working in the mental health sector
analysis correlation data data-analysis data-science jupyter-notebook jupyter-notebooks matplotlib numpy pandas psychology python python-3 seaborn statistics suicide-rate
Last synced: 20 Apr 2026
https://github.com/baranwaljii/data-science-projects
This Repository contains projects related to the domain of data science based on python and jupyter notebook
data-science jupyter-notebook machine-learning numpy pandas python
Last synced: 09 Apr 2026
https://github.com/s1dewalker/portfolio_analysis
MPT in Python | Efficient Frontier modeling, Fama French 3 Factor Analysis, Monte Carlo Simulations and Portfolio Risk Analysis (Sharpe, VaR)
efficient-frontier equity financial-research monte-carlo-simulation numpy pandas portfolio-analysis portfolio-management portfolio-optimization python quantitative-analysis quantitative-finance regression regression-models risk risk-analysis risk-management risk-models value-at-risk volatility
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https://github.com/kartmaan/exoplanets
Analysis of a dataset on exoplanets
astronomy astrophysics exoplanets graph images nasa numpy orca package pandas plot plotly science space statistics telescope telescopes
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https://github.com/akansharajput280799/data-exploration-and-visualization-for-streaming-platform
Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.
data-visualization excel exploratory-data-analysis matplotlib numpy python seaborn
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https://github.com/vtorres09/projetomonitoriaip
📋 Data analysis of a dataset created to select students to be teacher assistant (Introduction to Programming).
numpy object-oriented-programming pandas python
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https://github.com/wrighang/06_python-api-challenge
Module 6: Python APIs
api citipy geoapify hvplot jupyter-notebooks matplotlib numpy open-weather-api pandas python scipy-stats
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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:.
central-limit-theorem confidence-intervals matplotlib-pyplot numpy pandas python scipy-stats seaborn stats
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https://github.com/mkhekare/bikesharing_ml
Provides insights into the bike sharing trends based on various factors such as time of day, season, and weather. The findings can be used to improve bike sharing services and understand user behavior.
matplotlib numpy numpy-library pandas seaborn
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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.
classification data-science ipl machine-learning model-evaluation numpy pandas python sklearn sports-analytics
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https://github.com/marknature/codealpha-internship_python-programming
Python Programming Internship at CodeAlpha from 1st June 2025 to 30th June 2025
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https://github.com/gandholisarat/mlp-backprop-pmat403
This repository contains a Jupyter Notebook developed for my course, demonstrating symbolic and numerical computation, visualization, and problem-solving in Python using libraries such as SymPy, NumPy, SciPy, and Matplotlib.
jupyter jypyternotebook matplotlib numpy
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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.
approximation celsius conversion data-visualization error-analysis fahrenheit fahrenheit-to-celsius jupyter jupyter-notebook matplotlib numpy python python-3 python3
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python opencv face detect
artificial-intelligence deep-learning detection face facedetection machine-learning numpy object opencv people pyhton recognition
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n_gram model implementation with numpy only
Last synced: 21 Apr 2026
https://github.com/juanpablo70/pgad-assignment01
Breast Cancer Coimbra data set analysis
data data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python
Last synced: 08 May 2026
https://github.com/aleklukanen/systemsofsprings
This repository contains a few helpful pieces of Python code that can be used to compute time dependent positions of springs in 2 and 3 dimensions.
finite-element-methods finite-elements jupyter-notebook numerical numpy python
Last synced: 21 Apr 2026
https://github.com/prithvi45/machine-learning-prerequisites
Basics to Advance concepts on Numpy, Pandas, Matplotlib
matplotlib numpy pandas python
Last synced: 09 Apr 2026
https://github.com/leandro-bertoluzzi/parchis-probabilities
Small weekend project to play around with numpy and help me taking decissions while playing parchís
Last synced: 08 May 2026
https://github.com/misszeferino/us-traffic-accidents-analysis
Exploratory Data Analysis using Python
data-analysis matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/filnow/tinygimp
project for image processing class
gimp numpy opencv pysimplegui python3
Last synced: 08 May 2026
https://github.com/omogbolahan94/movies-budget-revenue-analysis
Data exploration, data cleaning, data analysis and predictive analysis
dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis
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https://github.com/tnleite/real-estate-opportunities-analysis
Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.
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https://github.com/prince-gh/numpy
Learn Numpy step by step
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This repository demonstrates the classification of Iris flowers into three species (Setosa, Versicolor, Virginica) using a Support Vector Machine (SVM) classifier.
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https://github.com/quarkgluant/analyse-visualisation-data-with-python
French Udemy Course "Analyse et visualisation de données avec Python" on Numpy, Pandas and MatPlotLib Python's librairies
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https://github.com/pawpaw2022/proj03-math-painting
An app that lets the user provide the start coordinates of geometrical shapes such as squares and rectangles, their dimensions, and their colors, and the program produces an image file canvas with all the geometrical shapes drawn in it. (Click the link below to see the demo)
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https://github.com/mattjudge/numpy_caching
Provides a method to cache the results from functions (typically numpy-based) in persistent storage
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