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/hitthecodelabs/petalanalyticsstreamlit
Web application developed with Streamlit that predicts the Iris flower type based on its physical features
matplotlib model numpy pickle python scikit-learn sklearn streamlit
Last synced: 05 May 2026
https://github.com/yenk/human-genomic-meta-analysis
Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.
linear-regression machine-learning matplotlib numpy scipy
Last synced: 05 May 2026
https://github.com/chdl17/marvelvsdc
This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.
excel jupyter-notebook numpy pandas python tableau-public
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https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
matplotlib numpy pandas-dataframe python
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https://github.com/fayzi-dev/salary_predict_app_by_streamlit
Salary predict App by Streamlit
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https://github.com/nandinimarepalli/ai_ml_internship_projects
Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.
matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/ayushdutta-ai/face-recognition-model
A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.
face haar-cascade lbph-face-recognizer numpy opencv pillow
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https://github.com/waghraj1699/fraud-detection-project
A fraud detection system with machine learning will be able to detect risk based on your historical data
data-processing decision-tree-classifier machine-learning numpy pandas
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https://github.com/nxhawk/mln
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library
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https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1
Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv
kurtosis matplotlib-pyplot numpy pandas python seaborn skewness
Last synced: 06 May 2026
https://github.com/kashinathbiradar/bangalore-housing-price-prediction
The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.
css deta doc html machine-learning matplotlib numpy pandas preprocessing seaborn sklearn sql
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https://github.com/iama02/vet-medicine-analysis
Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.
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https://github.com/toxe/python-plotting
Python Plotting
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https://github.com/mat-kubiak/manual-ml
DIY ML framework (using only NumPy!) + various demos
artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy
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https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression
🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.
data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python
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https://github.com/abhinav330/customer-behavior-analysis-linear-regression
This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.
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https://github.com/mikma03/datascience_python_datacamp
DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.
data-analysis data-science datacamp datascience numpy pandas python
Last synced: 06 May 2026
https://github.com/patilsukanya/assignment-05.-multiple-linear-regression-q2
Used libraries and functions as follows:
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score mlr multiple-linear-regression numpy ols-regression pairplot python regress-exog residual-analysis rsquare-values smf statsmodels vif
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https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression
Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression
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https://github.com/xanonymous-github/multimediax
The collections of class projects in Multimedia Technologies and Applications class, NTUT.
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https://github.com/hansalemaos/cv2_collage
Create a collage from images with OpenCV
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https://github.com/lunanvarg/bid-data-cac22039
En este repositorio se vé mi TP Integrador del programa Codo a Codo: Big Data
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https://github.com/piero24/lossfuncition-4sn
This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.
dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei
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https://github.com/bartosz-ziolkowski/social_data
Data analysis of San Francisco's crime data set from 2003 to 2018
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https://github.com/theweird-kid/ml-notes
Machine Learning Notes
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https://github.com/jcbritobr/iris-python
Simple data analysis using iris dataset, pandas, numpy, matplotlib and seaborn.
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https://github.com/aleksibovellan/ai-2048-game
AI Heuristics in Python for solving the 2048 Game
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https://github.com/jonad/titanic_survival
Basic decision tree model for Titanic dataset. Predict who will survive.
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https://github.com/ashwani-199/web-scraping2023
Python Web-Scraping 2023
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https://github.com/theamnabb/my-ai-brain
A complete, structured AI learning journey from scratch to advanced. Includes daily logs, mini projects, roadmaps, and useful resources for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
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https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning
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https://github.com/mgitrov/kulo-chatbot
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https://github.com/pereira-elizabeth/aah-2d-hermitian
Minimal 2D AAH model: build, diagonalize, and plot spectrum (NumPy/Matplotlib)
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https://github.com/jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn
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https://github.com/jnayak1/naive_bayes_cars
Using Naive Bayes and SGD ML algorithms to predict if a new car will decrease in price
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https://github.com/prajakta1321/exoplanet-atmospheric-characterization-1
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https://github.com/louisblankemeier/numpytex
Latex script generator that generates an aesthetically appealing table using a numpy array.
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https://github.com/kostadinlambov/the-galois-field-in-cryptography
This project is about Galois fields, what properties they have and how they can be used in cryptography.
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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...
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Last synced: 08 May 2026
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Pybind11 and numpy array bindings to openFABMAP
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https://github.com/amiegirl/ford_gobike-tripdata
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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
Last synced: 08 May 2026
https://github.com/hanzopgp/transformerneuralnetwork
Building a transformer with Keras and TensorFlow following tutorial.
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https://github.com/sunnyrao07/water-quality-analysis
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https://github.com/satvikpraveen/numpymasterpro
A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.
broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization
Last synced: 08 May 2026
https://github.com/saurabh274/aerofit-statistics-and-probability
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
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https://github.com/fasih-khan99/resume-screening
AI-Powered Resume Screener & Ranker
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https://github.com/aliakbar-omidi/ten-most-populous-cities-of-iran
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https://github.com/jupfu/beck-view-digitalize
Digitalize 16mm films with Python & reactivex & FT232H
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https://github.com/tonoy30/emotion-mask
A pytorch model for add face mask based on detected emotion.
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https://github.com/kingsley-ezenwaka/mean-var-std
This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.
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https://github.com/sanjurajveer/market_basket_analysis
Finding pattern of bought objects through market basket analysis
apriori-algorithm association-rules numpy pandas python seaborn
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https://github.com/dulajkavinda/numpy-ml
🔢 Calculations with NumPy library.
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https://github.com/dmalexx/lab1_computervision
Computer Vision Intro
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Python reference code for data visualization, machine learning and SQL
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https://github.com/dawoudtormos/rain_predicition_ml
This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.
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Last synced: 10 May 2026
https://github.com/jupfu/beck-view-movie
Assemble mp4 video from list of images
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https://github.com/mahmood-anaam/grid-world-value-iteration
An implementation of the Value Iteration algorithm for solving the Grid World problem. This project provides a function to compute the optimal value function for a grid-based environment where a robot navigates to maximize rewards while avoiding penalties.
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Last synced: 10 May 2026
https://github.com/niteshchawla/loantap-logisticregression
Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?
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https://github.com/andersoncrs/aprendizaje_no_supervisado_kmeans_customers
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data-analysis kmeans-clustering matplotlib numpy seaborn visualization
Last synced: 10 May 2026
https://github.com/velascort/image_equalizer_gui
Image equalizer using LUT interface.
image-processing lut numpy python scikit-image ttk
Last synced: 10 May 2026
https://github.com/shriansh2002/stock-prediction
This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.
apple datascience finance linearregression machinelearning matplotlib ml numpy pandas prediction python scikitlearn stock-prediction stockmarket
Last synced: 10 May 2026
https://github.com/baschin1103/machine-learning-linear-regression-tsi
The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.
csv linear-regression machine-learning numpy pandas python statistics
Last synced: 11 May 2026
https://github.com/samuel-schlemper-schlemuel/calculadora-de-media-variancia-e-desvio-padrao
Esse é um projeto do currículo do curso de analise de dados do FreeCodeCamp
Last synced: 11 May 2026
https://github.com/mituskillologies/dkte-da-mar25
Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.
data-analysis matplotlib numpy pandas python-programming tkinter-python
Last synced: 13 May 2026
https://github.com/prathicashettym/agriculturallanddetection
6th Semester SDG EL
flask keras matplotlib numpy pandas python seaborn streamlit tensorflow
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https://github.com/khushi130404/gradient_realm
Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.
batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent
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https://github.com/goessl/complex-random
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complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle
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https://github.com/huzaifa12466/neuralnetscratch
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
artificial-intelligence artificial-neural-networks backpropagation deep-learning forwardpropagation machine-learning matplotlib neural-network neural-networks numpy
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https://github.com/swarup-ranjan-mondal/chat-analyzer
A streamlit app to analyze whatsapp personal and group chats.
matplotlib numpy pandas python seaborn streamlit
Last synced: 04 May 2026
https://github.com/tasninanika/australian-credit-approval-analysis-svm
This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.
numpy pandas python3 scikit-learn svm-classifier
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https://github.com/sukanyadutta52/topic_modeling
What are the most pressing concerns regarding ‘Climate Change’ among tweeters according to Topic Modeling?
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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.
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https://github.com/maliksaqib786/codealpha_projectname
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https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data
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https://github.com/vedikasnehil/my-data-science-projects
This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.
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https://github.com/jonad/customer_segment
Creating customer segments using unsupervised machine learning algorithm.
clustering clustering-algorithm gaussian-mixture-models jupyter-notebook kmeans-clustering matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/headless-start/yolov4-tiny-raspberrypi
This repository contains YOLOv4-Tiny deployment on Raspberry pi.
darknet edge numpy object-detection opencv powerpoint python-3 pytorch raspberry-pi tensorflowlite yolov4 yolov4-darknet yolov4-tiny
Last synced: 10 Apr 2026
https://github.com/yannbouyeron/yannbouyeron.github.io
Python pour les SVT
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A python script to analyse credit card data to detect fraudulent transactions
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https://github.com/harmanveer-2546/covid-19-chances-detection
The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.
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Last synced: 10 Apr 2026
https://github.com/rubyyy1118/share-price-analysis
The assignment in my MSc Business Analytics course
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Last synced: 10 Apr 2026
https://github.com/mpbeatriz/santander_coders_2024
Repositório dos exercícios e projetos do curso de Engenharia de Dados da Ada em parceria com o Santander (em andamento).
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https://github.com/gaurav-0211/seaborn-for-data-visualization
This Project aims to different plotting methods using seaborn for data Visualization.
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https://github.com/abideen-olawuwo/fraud-detection
A Fraud Prediction Model
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https://github.com/aymen016/cosmic-mystery-challenge-2912
"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"
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https://github.com/sudarshanasrao/ee541-deep_learning-usc
USC graduate level Deep Learning course
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https://github.com/hemanthsaikumarbethapudi/last-mile_delivery_optimization.py-
This project implements an AI-powered last-mile delivery optimization system using Python. It leverages graph-based route optimization, demand prediction, and cost analysis to improve delivery efficiency in urban areas.
Last synced: 27 Aug 2025
https://github.com/yeonjaee/statistics
통계기초 with using python libs
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https://github.com/takaiwai/deep-learning-notes
Documentation of my learning process about deep learning and its math
Last synced: 10 Apr 2026
https://github.com/tralahm/datascience
Getting started with Data science Numerical Analysis and Scientific Computing
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