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/sedatuygur/attendance-management-system
Attendance Management System using Face Recognition
attendance-management attendance-management-system attendance-management-system-opencv attendance-tracker attendance-tracking dlib dlib-face-detection dlib-face-recognition face-detection face-recognition numpy numpy-python pandas pandas-python tkinter tkinter-app tkinter-gui tkinter-gui-library tkinter-python
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https://github.com/fabrizio-ottati/misha
Simple and fast decoding of event cameras data to NumPy
c cpp event-ca neuromorphic numpy
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https://github.com/animesh-ghosh/summer-training
Work done during Summer Training with OSAHub.
anaconda jupyter-notebook machine-learning numpy pandas python3 scikit-learn
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https://github.com/mahboobehad/ocausal
Outlier Causal Relations
causality-analysis datamining networkx notebook numpy outlier-detection python
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matplotlib matplotlib-pyplot numpy pandas
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https://github.com/nikhilroxtomar/introduction-to-numpy
A list of jupyter notebook explaining the various functions and properties of Numpy.
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csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
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algebra discrete-mathematics maryam math matrix numpy python python3
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ciencia-de-dados dados matplotlib-pyplot numpy orange pandas python scipy sklearn
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# 🎧 Top Hits Spotify (2000 - 2019)Explore music trends from 2000 to 2019 with this dataset of songs, artists, and genres. Use the insights to understand what makes a hit in today's music landscape. 🐙💻
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Machine learning on spam
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genetic-algorithm library machine-learning neural-networks numpy q-learning
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jupyter-notebook kaggle-dataset matplotlib numpy pandas python seaborn
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https://github.com/ndohvich/ndohvich
Je suis un grand fan de l'analyse des données avev PYTHON
anaconda arduino data github jypyter keras machine-learning machine-learning-algorithms numpy pandas python scikit-learn sql tensorflow visual-studio-code visualization-dashboard
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Análise Estatística da Pesquisa Nacional por Amostra de Domicílios
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ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
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algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm
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https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning
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https://github.com/freebirdscrew/datascience_crash_course
Data Science Crash Course that Explained about Each and Every Process in Data Science.
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https://github.com/afif-af/python-code
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computer-vision deep-learning keras machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python pytorch scikit-learn tensorflow
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https://github.com/prathameshdhande22/data-visualization-tutorial
Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial
data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial
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https://github.com/haidermalikk/neural-network-circuit-optimizer
The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*
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https://github.com/prabath1998/rice_leaf_disease_ditection_system
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https://github.com/mamtapanda088/uber-data-analysis
Uber data analysis involves studying trip trends, peak hours, popular locations, fare patterns, and visualizing insights using Python.
jupyter-notebook matplotlib numpy pandas python3 seaborn
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https://github.com/34j/numpy-flint-arb
Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API
acb arb arbitrary-precision array-api flint interval-arithmetic mpmath numpy
Last synced: 10 Mar 2026
https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning
This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.
decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc
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https://github.com/elissorokin/data-analyst-portfolio-rus
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ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis
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https://github.com/techassi/hfu-imgcomp
Image processing and computer graphics SOSE 22
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https://github.com/aymen016/film-recommendation-engine
A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.
flask numpy pandas pickle python scikit-learn streamlit
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https://github.com/iv4n-ga6l/objects_detection_with_neural_network_training_visualization
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https://github.com/mothnik/robust_fourier
Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
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https://github.com/athari22/house_sales_in_king_count_usa
The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.
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https://github.com/mchenryspagg/analysis-of-car-repair-shop-operations
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This project approach defines the terms machine learning and linear regression ML algorithm in the context of real-time problem-solving.
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https://github.com/hamdaniqhmqd/sistem-cerdas
I use this repository for my storage, especially in the intelligent systems course in semester 3
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https://github.com/linggarm/smart-caloriemax
A web app that utilizes Genetic Algorithms to generate a list of foods offering maximum calorie content within a specified budget.
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https://github.com/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
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https://github.com/macagua/entrenamiento.data_scientist_python
Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.
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https://github.com/cchandre/rg
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https://github.com/socrats/tscluster
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https://github.com/guptaachin/titanic-data-analysis
This is analysis and modelling of the famous Titanic Data Set from Kaggle.
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Last synced: 13 Apr 2026