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/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/arjunravi26/sentimental-analysis
Sentimental Analysis Project
gensim nltk numpy pandas scikit-learn tensorflow word2vec
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https://github.com/viniciusdsandrade/discount-decider-with-python
discount numpy optimisation python
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https://github.com/tharushi11/titanic-data-analysis
This repository contains a simple prediction model and survival predictions based on the Titanic dataset from Kaggle, along with detailed visualizations using Power BI.
dax machine-learning numpy pandas powerbi sklearn titanic-survival-prediction visualization
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https://github.com/kokila-m/data-quality-check-script-using-python
matplotlib numpy pandas python seaborn
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https://github.com/mgitrov/cnn-on-cifar-10
A computer vision project aiming to classify random images uploaded by the user.
artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter
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https://github.com/shhiivvaam/regression
Linear Regression Model
linear-regression numpy python
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https://github.com/jjwizardmp/a-start-search-python
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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jupyter-notebook numpy numpy-arrays pandas python3
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https://github.com/gregoritsch3/project_python_jobs_data_analysis
A multi-library Data Analysis Python project that draws useful insights from existing job data. It provides useful exploratory insight about job postings in the Data sector, such as the distribution of remote/non-remote jobs, jobs with/without healthcare, top paying and most demanded data roles, and more.
matplotlib numpy pandas python scipy seaborn
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https://github.com/datamallo/python101
The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for
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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/nicovandenhooff/kaggle-competitions
A repository that contains my Kaggle projects.
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https://github.com/thoughtscript/python_api_2023
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Foundational concepts and libraries for data science with Python.
data-science jupyter-notebook matplotlib numpy pandas python scipy
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https://github.com/alainlebret/python-et-ia-1
Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN
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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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https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022
Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap
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https://github.com/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
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https://github.com/ricardorobledo/next_level_data_science
matplotlib numpy pandas python3 scikit-learn
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https://github.com/murugavl/flower-prediction
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.
flask machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/amrutha-vm0407/deepavali-sales-exploratory-data-analysis
Data Analysis Project for Beginners
csv-import matplotlib-pyplot numpy pandas python3 seaborn
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https://github.com/alexkhype/04python-carpricepredictor
Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.
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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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https://github.com/merekat/ml-shortcut-library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
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https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland
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https://github.com/ahmaruff/kmeans-img-compress
Simple python image compression library using K-Means clustering
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https://github.com/matiassenia/galaxypy
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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https://github.com/noopur-phadkar/botnavigator
BotNavigator utilizes the A* (A-Star) algorithm for pathfinding, leveraging Python along with libraries such as Matplotlib and Numpy for efficient array operations and visualization. This innovative solution optimizes robotic navigation within warehouse environments, enhancing operational efficiency and scalability.
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https://github.com/autokmg/ai-foundations
Practice exercises related to the Foundations of Artificial Intelligence university course. The code examples are designed to help students gain a deeper understanding of these topics and to prepare for exams and assignments. The repository is open to contributions from other students.
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https://github.com/shortthirdman/distributedlagmodels
Distributed Lag Models in Dynamic Model Time Series
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https://github.com/aniket2021448/movie-recommender-system
A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis, NLP processing and ML, achieving the functionality of a Content based movie recommender system
data-exploration data-exploration-and-preprocessing free-hosting-service machine-learning natural-language-processing nltk-python numpy pandas streamlit-webapp
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https://github.com/mwoss/opencv-raspberry-pi
Video capture on Raspberry Pi/PC using OpenCV
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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
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Model for Diabetes Prediction using Machine Learning
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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
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https://github.com/paulo-santos-ds/previsao_preco_carros
O objetivo é realizar predições em um aplicativo de vendas de carros. A qualidade e velocidade de predições é crucial para o negócio. O projeto utiliza dados históricos, especificações técnicas, versões de acabamento e preços.
lightgbm math matplotlib numpy pandas python time
Last synced: 20 Apr 2026
https://github.com/prithvikings/zomato_data_anaysis
This analysis provides insights into customer preferences and restaurant performance on Zomato. The visualizations and findings can help Zomato make informed decisions to improve customer experience and tailor their offerings.
matplotlib numpy pandas python seaborn
Last synced: 20 Apr 2026
https://github.com/jbalooshie/school_district_analysis
Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.
data-analysis data-science dataframes jupyter-notebook numpy pandas python
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https://github.com/muhammadmoeezkhan/euclidean-distances
Python Program That Calculates Euclidean Distances Via 5 Algorithms
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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/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/prashhhant213/data_analysis_and_visualization-_for_streaming_platform
Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.
colab-notebook data datavisualization matplotlib numpy pandas python seaborn
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https://github.com/oanderoficial/plant-health-check
cv2 diagnostic inteligencia-artificial numpy tensorflow
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https://github.com/carmoreno/aviones-aldeas
:airplane: Final project o Complexity and Optimisation course :house_with_garden:
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https://github.com/star2dust/numpy-notes
A tutorial to learn numpy and matplotlib.
Last synced: 16 Jun 2026
https://github.com/himudigonda/gradwire
GradWire: A NumPy-based Automatic Differentiation Engine
automatic-differentiation deep-learning dynamic-computation-graphs machine-learning numpy operator-overloading
Last synced: 22 Apr 2026
https://github.com/mariacarolinass/analise-de-dados
Iniciando com NumPy e Matplotlib
matplotlib matplotlib-pyplot numpy numpy-exercises
Last synced: 23 Apr 2026
https://github.com/theroyakash/shallow_neural_network
Design of an one hidden layer neural network using numpy only,
neural-networks numpy shallow-neural-network
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https://github.com/sciguymjm/introtomlmidterm2
Code for Intro to ML Midterm 2
hierarchical-clustering kfold-cross-validation kmeans-clustering numpy
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https://github.com/dpb24/datakind-2025
📊 Data Analytics: Identifying Actionable Insights to Improve Financial Inclusion in Kenya
data-analytics data-visualization databricks datakind exploratory-data-analysis financial-data geopandas jupyter-notebook kenya matplotlib numpy python seaborn
Last synced: 24 Apr 2026
https://github.com/nightmachinery/mlp_from_scratch
A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.
deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy
Last synced: 25 Apr 2026
https://github.com/davewhit3/bill-detector
Bill detection. Usage OCR algorithm to read content
ai numpy ocr-recognition python3
Last synced: 26 Apr 2026
https://github.com/prathush-kumar/fake_news_detection
Developed an intelligent system to identify and classify fake news articles using Natural Language Processing (NLP) and Machine Learning techniques.
classification machine-learning natural-language-processing numpy pandas sklearn-library
Last synced: 26 Apr 2026
https://github.com/abhisingam/brickbreaker
A Terminal-Based game made in Python that emphasises upon the use of OOPs concepts. Python | NumPy | Game Development
game-development numpy python3
Last synced: 26 Apr 2026
https://github.com/hinanohart/dostosim
Dostoevskian agent-based simulation: seven literary archetypes as a unified reward decomposition. Anti-optimisation, dignity-as-utility, ideological cascade, gambler-ruin — pre-registered H1-H4 with bootstrap CI / BH-FDR / Cliff's delta.
abm agent-based-modeling behavioral-economics bootstrap-ci computational-social-science dostoevsky literature networkx numpy python reproducible-research
Last synced: 27 Apr 2026
https://github.com/manasashetty01/regulatory-affairs-of-road-accidents
Regulatory Affairs of Road Accidents in Million-Plus Cities (India, 2020)
data-analysis data-science data-visualization exploratory-data-visualizations jupyter-notebook numpy pandas python
Last synced: 27 Apr 2026
https://github.com/beyza-ozben/fft_ses_temizleme
BİL314-Sinyaller ve Sistemler Dersi/Final Projesi (Fourier Dönüşümü)
audio-denoising conda-environment fastfouriertransform fft librosa matplotlib noisereduce numpy python scipy-library soundfile
Last synced: 27 Apr 2026
https://github.com/jbayardo/dip-tp2
compression image-processing jpeg numpy python scikit-image
Last synced: 27 Apr 2026
https://github.com/gyselle-marques/calculodemetricas-desafiodio
Machine Learning: Cálculo de Métricas de Avaliação de Aprendizado em Python.
accuracy brazilian-portuguese colab-notebook confusion-matrix dio-bootcamp dio-challenges f-measure f-score machine-learning matplotlib numpy precision python recall sklearn specificity statistics xgboost
Last synced: 27 Apr 2026
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/hadson0/chess-live-ratings-data
A study project focused on web scraping the live chess ratings from chess.com, with data analysis and visualization on nearly 5000 players in the classical world ranking.
beautifulsoup chess data-analysis data-visualization numpy pandas python seaborn web-scraping
Last synced: 28 Apr 2026
https://github.com/abdeldjalilchafai/us-flight-delay-eda
Structured EDA on 2015 US flight delay data. Clean, reproducible notebook using a 6-step data analysis framework for real-world datasets.
data-analysis data-cleaning eda exploratory-data-analysis flight-delays kaggle matplotlib numpy pandas python seaborn
Last synced: 28 Apr 2026
https://github.com/semanticdata/traffic-studies
Comprehensive traffic analysis dashboard for Crystal, Minnesota, built with Streamlit.
matplotlib numpy pandas plotly python seaborn streamlit
Last synced: 28 Apr 2026
https://github.com/ahmedsamir45/mean_variance_standard_deviation_calculator
take list of numbers and return it 3x3 array and calculate mean variance and std for rows columns and all array
mean numpy standard-deviation variance
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https://github.com/ksprugevics/galton-board
Python implementation of the Galton board
galton-board numpy pygame pymunk python
Last synced: 29 Apr 2026
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.
data-science numpy python python-script
Last synced: 29 Apr 2026
https://github.com/shefreenkaur/nlp_query_documents
This repository contains two implementations of an NLP document query system that processes PDF documents and ranks them based on relevance to user queries.
easyocr naive-bayes nlp numpy ppmi pymupdf tf-idf
Last synced: 29 Apr 2026
https://github.com/louis-finegan/least-squares-method-curve-fitting-python3
Applying the Least-Square-Method to Curve-Fit in python using Numpy.
curve-fitting least-squares numpy
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https://github.com/rand-asswad/controle_optimal
Une étude d'un problème de contrôle optimal avec visualisation 3D
controle-optimal numpy optimal-control python sympy
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https://github.com/bilgeswe/datascience
Using Statistics and Data Science Project in Python using Google Colab tools, CVS and XLSX
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https://github.com/chirindaopensource/high_dimensional_matrix_variate_diffusion_index_models
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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shallow neural network imp.
neural-network numpy python-3-6
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https://github.com/al-ghaly/e-commerce-a-b-testing
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data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics
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https://github.com/matheusvazdata/retail-sales-forecast-linreg-sklearn
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forecasting linear-regression machine-learning matplotlib numpy pandas scikit-learn
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https://github.com/armahdavi/ai_ml_assisted_breast_cancer_tumor_detection
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https://github.com/jack-thesparrow/tube-color-detect
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Exploratory Data analysis on data using python
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Last synced: 29 Apr 2026
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dataframes etl numpy pandas programming python
Last synced: 29 Apr 2026
https://github.com/atchayaah/vois_aicte_oct2025_atchayaa
Comprehensive data science analysis leveraging NYC Airbnb market data to derive actionable insights on optimal pricing models, key performance indicators (KPIs), and factors influencing host trust and guest experience optimization.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/chandadiya2004/movie-recommendation-system
A Movie Recommendation System built using TfidfVectorizer and cosine similarity. The model processes a large dataset of movies and recommends similar movies based on a given input movie by analyzing textual features and calculating similarity scores.
cosine-similarity numpy pandas python sklearn tfidf-vectorizer
Last synced: 29 Apr 2026
https://github.com/monddavila/online-retail-data-analysis
Online Retail Exploratory Data Analysis with Python
data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/fantaso/data-analysis-and-manipulation-with-pandas
Project consists to analyse a publicly available movie dataset found in https://www.kaggle.com/beyjin/movies-1990-to-2017 and use Python tools like Pandas in order to get some initial insights about the dataset and finally proceeding to clean, transform and save a new version of the dataset in a better structure thinking about storing the data in a database.
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Last synced: 29 Apr 2026
https://github.com/iambedant/deeplearning.ai-assignments
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Last synced: 29 Apr 2026
https://github.com/andryadsm/asset-analyzer
📈 Project Asset Analyzer (Python)
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Last synced: 29 Apr 2026
https://github.com/sophiaas/transform-datasets
Datasets for modeling transformations in data.
Last synced: 29 Apr 2026
https://github.com/ola-kaznowska/sigmanoid-function
Sigmanoid function. Written in Python 3.13.1 with matplotlib library and numpy
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Last synced: 30 Apr 2026