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: 2026-07-05 00:18:00 UTC
- JSON Representation
https://github.com/amruta33/credit_card_analysis
The loan providing companies find it hard to give loans to the people due to their insufficient or non-existent credit history. Because of that, some consumers use it as their advantage by becoming a defaulter.
Last synced: 15 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-line-parametric-curve-graph
A demo of creating a 3d line parametric curve graph.
3d curve graph line matplotlib numpy pandas parametric python web
Last synced: 15 Apr 2026
https://github.com/nmerka/practicum_rep
Проекты курса Аналитик данных (Яндекс.Практикум)
jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn sql tableau
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https://github.com/farha-dahman/investigate_dataset
Investigate [No-show appointments] Dataset
data-analyst jupyter-notebook matplotlib numpy pandas python
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https://github.com/dipeshgoyal013/salary-data-analysis
Salary Analysis according department and agency.
analysis matplotlib numpy pandas salary sklearn-library
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https://github.com/lulunac27a/number-statistics-jupyter-notebook
Number statistics app in Jupyter Notebook
jupyter jupyter-lab jupyter-notebook jupyter-notebooks jupyternotebook notebook number number-statistics number-stats numpy numpy-arrays numpy-python python python-notebook python-notebooks statistics stats
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https://github.com/singhvishal003/sales-data-analysis
Data Analysis according to sale data.
matplotlib numpy pandas seborn
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https://github.com/codehub001/age-and-gender-detection
This AI-powered project detects faces and predicts age & gender from images or video streams using OpenCV and deep learning. 🧠💡 🔹 Face Detection 👀 🔹 Gender Classification 🏷️ (Male/Female) 🔹 Age Estimation 📊 (from predefined age groups) 🔹 Live Video & Image Support 🎥🖼️
argparse deep-learning numpy opencv pretrained-model python
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https://github.com/aicorsair/python-case-study-ab-testing-for-lunartech-homepage-cta-button
This repository contains a detailed case study on an A/B test of LunarTech's homepage CTA button, using proxy data structured similarly to the company's real data.
ab-testing click-through-rate confidence-intervals data-analysis data-analytics data-exploration data-science data-visualization hypothesis-testing matplotlib normal-distribution numpy pandas practical-significance python statistical-analysis statistical-significance z-critical z-statistic z-test
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https://github.com/ankitpundir7/group-face-emotion-recognition
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All python projects are here
matplotlib numpy pandas python seaborn
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https://github.com/samiyaalizaidi/nn-ml-homeworks
Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.
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ML for Lung Cancer Prediction dataset from kaggle.
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Movie generator using MoviePy, OpenCV2 and Numpy.
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This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.
cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas
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analysis of data on neutral single nucleotide polymorphisms
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https://github.com/chandkund/sentiment-analysis-on-movie-reviews
Project on Sentiment Analysis of Movie Reviews using K-means clustering. This project clusters movie reviews based on their sentiment scores to understand audience reactions. Includes data preprocessing, feature selection, model development, and visualization.
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https://github.com/danish-jamil-01/kidney-tumor-detection
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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. 🚀📊
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https://github.com/nits2612/data-science-projects
Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.
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https://github.com/luizabash/wmap-tt-eda
EDA of the WMAP 5-Year TT Power Spectrum data, the analysis includes summary statistics, data visualization, polynomial regression for model fitting, and hypothesis testing
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Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. 🚢
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A repository (pyrandocs i.e. Python's v2/v3 random documents/files) containing different Python v2/v3 based resources (files/documents etc.) from random topics. A project to try different Python's features.
base64 beautifulsoup class exception-handling hashlib json jwt-authentication loops matplotlib nltk numpy pandas python2 python27 python3 requests searching time-complexity urllib urllib2
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https://github.com/hasanyahya101/pareto-tutorial-python
This tutorial demonstrates how to create Pareto charts using Python libraries like pandas, NumPy, and Matplotlib. All code for this is given in the Jupyter Notebook.
chart charts code-blocks ipynb jupyter-notebook license markdown matplotlib mit numpy pandas pareto py python
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https://github.com/saumyajeet-varma/braintumor-ml-integrated-webapp
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https://github.com/legendarym4x/data_science
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📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.
advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit
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https://github.com/davityak03/english-audio-to-hindi-text-using-pretrained-model
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adam-weight-decay css flask html nlp numpy python tensorflow tokenizer transformers translation
Last synced: 26 Feb 2026
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/vladimiracunadev-create/python-data-science-program
Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.
bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/kriss024/python
Python for Data Science
anaconda anaconda3 data-science jupyter-notebook lightgbm machine-learning numpy opencv pandas python3 sklearn tensorflow2 xgboost
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https://github.com/chandkund/stock-price-prediction-
Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.
data-science linear-regression numpy pandas plotly python sklearn sklearn-model
Last synced: 21 Jan 2026
https://github.com/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies
Web scraping the top 250 movies in IMDB site.
data-analysis numpy pandas python
Last synced: 04 May 2026
https://github.com/oislen/randomtelecompayments
An application for randomly generating telecommunication payment data.
data-simulation multiprocessing numpy pandas payments python qmarkdown random-number-generation telecommunications unittests
Last synced: 15 Apr 2026
https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation
This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis
Last synced: 09 Apr 2026
https://github.com/hifly81/photox
photo and album organizer for gtk3
gtk3 numpy opencv-python photography pil pillow python
Last synced: 24 Oct 2025
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
Last synced: 12 Apr 2026
https://github.com/mlicamele/neural-network
Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.
gradient-descent matrix-computations neural-networks numpy python
Last synced: 12 Apr 2026
https://github.com/sharkb8t/credit-risk-classification
Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.
jupyter-notebook numpy pandas pathlib python scikit-learn
Last synced: 15 Apr 2026
https://github.com/ai-ahmed/bda-and-ds
Dual Course: EMC2 Data Scientist & Big Data Analytics & IBM Professional Data Science Course
analytics big-data data-science jupyter-notebook jupyterlab linear-algebra mathematics matplotlib ml numpy pandas probability seaborn sklearn statistics
Last synced: 07 May 2026
https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
cv2 dotenv firebase-admin flask numpy pandas python react svgpathtools svgwrite
Last synced: 23 Jan 2026
https://github.com/linggarm/evolutionary-algorithms
Collection of codes of Evolutionary Algorithms college course (Knapsack Problem & Travelling Salesman Problem)
ant-colony-optimization evolution-strategies evolutionary-algorithms evolutionary-programming genetic-algorithms genetic-programming knapsack-problem matplotlib numpy particle-swarm-optimization python travelling-salesman-problem
Last synced: 15 Apr 2026
https://github.com/subratamondal1/quora-automated-text-classification
Text Classification with Bag of Words - Natural Language Processing
bag-of-words machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python3 pytorch scikit-learn
Last synced: 15 Apr 2026
https://github.com/hanzopgp/randomkagglesolving
Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.
artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow
Last synced: 04 May 2026
https://github.com/chandkund/customer-segmentation
Customer segmentation divides customers into distinct groups based on characteristics and behaviors. This project uses K-Means clustering, an unsupervised machine learning algorithm, to segment customers and provide insights for targeted marketing strategies
kmeans-clustering matplotlib numpy pandas python seaborn
Last synced: 15 Apr 2026
https://github.com/olfabelhadj/gestion-d-une-boutique-avec-python
OpenClassrooms parcours Data Analyst Projet 6
matplotlib-pyplot numpy pandas plotly-express plotly-graph-objects seaborn
Last synced: 15 Apr 2026
https://github.com/abhishekyadav915/e-commerce-sales-analysis
E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.
matplotlib-pyplot numpy pandas-library plotly python3
Last synced: 04 May 2026
https://github.com/r-papso/pynet
Deep learning library implemented in Python
deep-learning machine-learning neural-network numpy python
Last synced: 26 Feb 2026
https://github.com/dyrits/parite
OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
matplotlib numpy pandas python
Last synced: 04 May 2026
https://github.com/shuyib/pimadlkeras
Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn
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https://github.com/juzershakir/train_a_smartcab_to_drive
From just cab, to Smart-Cab
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Last synced: 22 Oct 2025
https://github.com/manjotkaurgill/agritech
Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.
flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn
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https://github.com/mdaltamashalam/uber-fare-prediction-models
Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.
catboost data-analysis data-cleaning data-visualization lgbm-regressor machine-learning matplotlib numpy pandas python random-forest regression-models skit-learn xgboost-algorithm
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https://github.com/coueghlani/nlp
Proyecto de Procesamiento de Lenguaje Natural y Análisis de Datos
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https://github.com/giihcastro/trabalho-fisica
3D VPython Electromagnetic Particle Motion Simulator
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https://github.com/bursasha/pandas-numpy-matplotlib-cavies-analysis
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https://github.com/smahala02/materials-science-introduction
Introduction to Materials Science concepts using Python for array manipulation and visualization with NumPy and Matplotlib.
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https://github.com/chathumiamarasinghe/nn-training-model
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https://github.com/ryancswallace/npdb
Parallel NumPy-like interface for large n-dimensional arrays on disk.
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https://github.com/rampal-punia/data-science-toolkit
Your Go-To Resource for Essential Data Science Related Commands, Concepts, Quick Overviews and Useful Functions.
artificial-intelligence data-science keras machine-learning matplotlib nlp nlp-machine-learning numpy pandas pythorch sql tensorflow
Last synced: 09 Feb 2026
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/surayasumona/test_bowlers_analysis
Data Analysis with Python
data-analysis data-manipulation data-preprocessing numpy pandas
Last synced: 04 May 2026
https://github.com/hansalemaos/all_against_all
Each item of a list against all others
Last synced: 02 Apr 2026
https://github.com/sarowarahmed/predicting-kolkata-house-price
🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.
app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit
Last synced: 26 Feb 2026
https://github.com/farhad-here/height-distribution-analysis
Statistical comparison of height distributions in two groups using mean, standard deviation, and boxplots.
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Last synced: 13 Apr 2026
https://github.com/aqueeqazam/machine-learning-using-scikit
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https://github.com/sahilk12nayak/data-capstone-projects-using-python-libraries
In this data project we will focus on exploratory data analysis. This project utilizes Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.
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https://github.com/codealphaprojects/spotify-music-recommender
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https://github.com/ankits-21/smartspectro
This is Mobile Based Spectrometer
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Last synced: 09 Feb 2026
https://github.com/murugavl/forage_tata_genai_powered_data_analytics
This repository showcases my work from the TATA GenAI Powered Data Analytics Virtual Experience on Forage, where I applied data cleaning, analysis, and visualization techniques to derive actionable business insights.
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https://github.com/mahmud-kandawala/simulating-covid-19-python-
This repository contains a Python program that simulates the spread of COVID-19 using Numpy and Matplotlib for calculations and visualization. The simulation offers an interactive way to understand virus dynamics and the impact of epidemiological parameters.
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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/carterbox/libimage
Provides large (2k) test images as NumPy arrays.
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https://github.com/mariam-zaidi/bike-sharing-prediction-model
Build a multiple linear regression model for the prediction of demand for shared bikes.
linear-regression matplotlib numpy pandas rfe seaborn sklearn
Last synced: 09 Feb 2026
