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/abyss-s/data-analysis-project
[컴퓨팅사고와 데이터분석 기초] 최종 프로젝트 (2024-1)
matplotlib numpy pandas python sckiit-learn
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https://github.com/refraction-ray/numkl
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cython-wrapper lapack mkl numpy
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https://github.com/syedsaadahmed/playing-with-pandas-numpy-matplotlib
Practicing pandas, matplotlib and numpy for different data-sets, practicng these libraries and putting all the bit here in this repository
jupyter-notebook matplotlib numpy pandas pandas-numpy-matplotlib python3
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https://github.com/ahmad-ali-rafique/numpy-mastery-notebook
Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.
dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python
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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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[freeCodeCamp] Numpy-based stats calculator
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A trivial sudoku solver in Python, using recursion and numpy.
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Exploring the full Numpy library for DS
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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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This repository contains two implementations of an NLP document query system that processes PDF documents and ranks them based on relevance to user queries.
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Applying the Least-Square-Method to Curve-Fit in python using Numpy.
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A Python-based system leveraging a Raspberry Pi to capture and process traffic images, dynamically control traffic lights and servo motors based on real-time vehicle detection using edge detection, and optimize traffic flow intelligently.
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epitech epitech-project numpy pytest python3
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https://github.com/unknownman/101-numpy
learning numpy by 101 short videos and jupyter notebook
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shallow neural network imp.
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https://github.com/chandkund/predicting-student-grades
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https://github.com/ahshah322/world-happiness-report-2025
Data analysis and visualization of the World Happiness Report 2025 using Python (pandas, seaborn, matplotlib). Explores how GDP, health, freedom, generosity, and corruption perception influence global happiness.
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https://github.com/fanisgl/video-games-sales-data
Data Analysis of Sales Dataset using Python.
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https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
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Sigmanoid function. Written in Python 3.13.1 with matplotlib library and numpy
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https://github.com/samiksha29-patil/hr-employee-data-analysis-visualization-in-python
This project focuses on analyzing an HR Employee Dataset that contains details about employees such as demographics, job status, salaries, performance reviews, satisfaction levels, and attrition reasons.
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https://github.com/sjain2580/simple-linear-regression-model
This project demonstrates a simple, yet robust, multiple linear regression model built with Python and scikit-learn to predict median house values in California.
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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.
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https://github.com/pramodyasahan/grade-predictor
This project aims to predict student performance based on various features such as job, study time, failures, absences, and first and second period grades. The project utilizes a linear regression model from the scikit-learn library in Python.
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https://github.com/tinaland101/credit-risk-classification
The purpose of this project is to build a credit risk classification model using machine learning techniques. This model helps identify the creditworthiness of borrowers based on historical lending data. Specifically, it uses a logistic regression model to predict whether a loan is healthy (0) or high-risk (1).
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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/blankscreen-exe/triple-trial-card-maker
Triple Triad Card maker for a game inspired by Final fantasy
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Proyek pemodelan machine learning untuk mengklasifikasikan tingkat stres mahasiswa berdasarkan parameter input akademik dan psikologis.
joblib jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn streamlit
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https://github.com/professornova/ann-scratch
This repository implements a simple Artificial Neural Network (ANN) from scratch using only NumPy.
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https://github.com/ayushshrivstava/es654_prereqtest
Prerequisite test for the Machine Learning course ES654
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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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https://github.com/abhiram-epuru/ai-powered-movie-recommender
A Movie Recommendation System using the MovieLens dataset, leveraging collaborative filtering techniques such as KNN (k-Nearest Neighbors) and Singular Value Decomposition (SVD). The project demonstrates a personalized recommendation model capable of suggesting movies based on user preferences and interaction data.
matplotlib numpy pandas python sckiit-learn seaborn
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https://github.com/kernel-loophole/data-analysis-with-pandas
pandas
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https://github.com/abimathi03/exploratory-data-analysis
Titanic Dataset: Data Cleaning & Exploratory Data Analysis (EDA)
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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.
2dgame bomberman-game computer-vision convolution harris-corner-detector image-processing keypoint-detection numpy pandas python statistical-analysis
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A PySpark-based bird flock simulation modeling alignment, cohesion, and separation forces with a leader guiding the flock. Efficiently handles large-scale simulations and generates a visualized GIF of the flock’s movement.
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Confidence Interval Simulation
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EDA on Play Store apps and user sentiment reviews
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Data Science Using Python Jupyter Notebook
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https://github.com/satyamtripathi8/tools_for_data_science
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gensim ignite matplotlib neural-network nltk numpy pandas scipy-stats seaborn torch torchvision
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https://github.com/lmlk-seal/arrowshelf
A lightning-fast, zero-copy, cross-process data store for Python using Apache Arrow.
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https://github.com/dostuffthatmatters/jax-capability-analysis
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https://github.com/dhruvv1402/spam-detection-python-
This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.
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Exploratory Data Analysis
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This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
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https://github.com/laszlokorte/canny-notebook
Numpy Canny Edge detector implementation to visualize each step
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https://github.com/ducha-aiki/laf2ell
Utils for LAF to ellipse and back conversion. Also function for drawing LAFs.
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https://github.com/mgitrov/ann-from-scratch
An artificial neural network implemented from scratch using numpy only.
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https://github.com/shreeparab1890/unicorns-of-india-till-sep-2022-analysis-eda
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https://github.com/shreyas-wagire/data-science
jupyter-notebook numpy pandas python3
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https://github.com/parham1998/linear_regression_pytorch
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backpropagation gradient-descent linear-regression loss-functions numpy python pytorch
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https://github.com/krook1024-uni-archive/kmeans
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Last synced: 02 May 2026
https://github.com/camsai/jupyterlite
CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.
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https://github.com/hariprasath-v/solafune_aerosol_optical_depth_estimation
Estimate AOD using Sentinel-2 data, leveraging its spectral bands and spatial resolution to improve accuracy.
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This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.
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https://github.com/helenaden/data-science-fundamentals
This project delves into fundamental data science concepts using Python libraries like NumPy and Pandas
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Last synced: 03 May 2026
https://github.com/krumyakimov/house-price-developments-in-bulgaria
I developed this project for my final exam in the Data Science course at SoftUni.
data-science jupyter-notebook matplotlib numpy pandas scipy seaborn
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https://github.com/raduldev/biopython
Biopython Record Work and few extra coding excercise
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Last synced: 03 May 2026
https://github.com/kisaa-fatima/foreground-segmentation-using-kmeans-face-recognization-using-knn
Implement a basic version of the interactive image cut-out/segmentation approach called Lazy Snapping. The program uses K-Means Clustering to segment images into foreground and background based on user-provided seed pixels.
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Last synced: 03 May 2026
https://github.com/chethannazre/railway-track-obstacle-detection-system
RAILWAY TRACK OBSTACLE DETECTION AND AUTOMATION (RAILTECH AUTOMATION)
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Last synced: 03 May 2026
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Last synced: 03 May 2026
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Image processing python code
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Last synced: 03 May 2026
https://github.com/ebrahimar/ai-voice-cloner-xtts-v2
A Streamlit web app for AI-powered voice cloning using Coqui XTTS v2. Record or upload reference voices, clone speech in multiple languages, and generate natural audio outputs.
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https://github.com/nak-dt/deep-decision-forest
A custom ensemble tree model inspired by Deep Forest
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https://github.com/prathicashettym/machinelearningalgorithms
Contains mini projects and implementation using ML algorithms
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https://github.com/sadmanca/imdb-scraper
Scrapes IMDb's movie database and outputs the data to CSV files.
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Last synced: 03 May 2026
https://github.com/mzayles/data-preparation.py
Curso Programação em Python para Data Science | Preparando e tratando dados de uma base de vendas com Pandas e NumPy.
Last synced: 03 May 2026
https://github.com/codeslash21/tmdb_data_analysis
We analysed TMDB dataset which contains around 11000 movies details. We analyzed to find some interesting facts about the dataset.
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https://github.com/akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
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https://github.com/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi
Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.
matplotlib numpy pandas scikit-learn seaborn
Last synced: 03 May 2026