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/jonolav95/advent_of_code_2022
Using Python with Pandas and Numpy (www.adventofcode.com).
Last synced: 06 May 2026
https://github.com/shimu-i/pythonmastery
Diving into Python essentials, libraries, and tricks to become an AI & ML pro. Coding, learning, and having fun while building the future!
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https://github.com/dakshdeephere/bank_eda-practice
EDA analysis of Bank.csv dataset
analysis data data-visualization dataanalysis matplotlib numpy pandas python3 seaborn
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https://github.com/suhas-005/jovian-data-analysis-course-assignment
These are my assignments for Data Analysis : Zero to Pandas course by Jovian.ai
data-analysis data-analytics numpy pandas python
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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.
matplotlib numpy pandas pyhton3
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https://github.com/shantanudhanawade/mini-projects
Price prediction with linear regression
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https://github.com/pointer2alvee/machine-learning-algorithms-scratch
Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.
machine-learning-algorithms numpy pandas probabilistic-machine-learning python statistical-models
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https://github.com/alekiie/streamlit-dashboard
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https://github.com/shefreenkaur/web-scraping-and-word-frequencies
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https://github.com/ragnarok540/sympy-tutorial
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https://github.com/haimgoldfisher/data_visualization_final_project
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https://github.com/dhruvil-26/python-projects
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https://github.com/daniel-brai/alx-t-x-udacity-data-analytics-nanodegree
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https://github.com/nova-land/kalmanfilter-python
Kalman Filter in PyTorch and Numpy
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Various systems that train on data and generate a prediction
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In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.
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https://github.com/shingiraibhengesa/house-price-predictor
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https://github.com/aliyahscoding/tiny-recommender
Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.
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https://github.com/brian-hepler-phd/kak-decomposition-qml
Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.
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https://github.com/priyanshul28/exercise_pandas
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https://github.com/liannekiarra/university-dissertation
Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems
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https://github.com/dmalexx/lab1_computervision
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https://github.com/vviveksharma/barcodescanner
The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red
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https://github.com/sahaavi/color-detection
Colour detection is the process of detecting the name of any color. Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.
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https://github.com/prakashjha1/email-sms-spam-classifier
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https://github.com/kartmaan/plotly-intervals
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understanding customers using KMeans and RFM(recency, frequency & monetary) analysis
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https://github.com/akashash01/decision_tree
A very specific type of probability tree that enables you to make a decision on certain process(chance event outcomes, resources cost, utility).
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https://github.com/daksh90a/wine-quality-analysis
The Wine Quality Analysis project is an AI/ML-based data analysis initiative aimed at predicting and understanding the factors that influence the quality of wine.
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https://github.com/gmcgibbon/udacity-dlnd-project-1
Udacity Deep Learning Nanodegree - Project 1
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Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.
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https://github.com/pnguyen215/pycelize
Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.
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https://github.com/takana671/fluidcube
Particle Movement Using Curl Noise
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https://github.com/lmlk-seal/pyspeed
Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.
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https://github.com/charlenry/python_data_science
Mes notebooks de travaux pratiques sur Python pour la Data Science
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https://github.com/waghraj1699/ipl-win-probability-predictor
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https://github.com/sultanazhari/game-trend
Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.
matplotlib-pyplot numpy pandas python3 scipy-stats video-game
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https://github.com/mr-chang95/udacity-starbucks-challenge
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
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https://github.com/sabbir45ali/cam-board
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https://github.com/chandkund/ev-market-segmentation
This project focuses on segmenting the Electric Vehicle (EV) market in India to identify key customer groups based on their preferences, behaviors, and demographics.
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https://github.com/sayidmushtaq/reportcard
Tracking and analyzing student grades. It calculates averages, identifies top performers, and generates performance reports with ease.👨🏼🎓👨🏼🎓
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https://github.com/ayorick23/python-data-science-cheat-sheet
Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.
cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow
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https://github.com/gerlero/generala
🎲 Probabilistic tool for the dice game of Generala
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https://github.com/mizcausevic-dev/embedding-drift-graph
Track how entity embeddings drift across encoder model versions. SQLite store + Strawberry GraphQL API. Cosine drift events computed automatically on every record. Reference impl for RAG/eval pipelines re-encoding their corpus.
ai-governance drift-detection embeddings graphql llm numpy python rag sqlite strawberry-graphql vector-search
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https://github.com/mbarbetti/hello-snakemake
Simple implementation of snakemake to sample and plot data
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https://github.com/fanisgl/cnn_machine_learning
A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.
data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2
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https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
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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
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https://github.com/hifly81/photox
photo and album organizer for gtk3
gtk3 numpy opencv-python photography pil pillow python
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https://github.com/atul-maurya-30/galaxy
Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.
flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
Last synced: 09 Mar 2026
https://github.com/miasanromen/math-modeling
Math modeling with Python. Statistics, math, graphics
math matplotlib numpy probality-theory scipy-stats statistics
Last synced: 14 Apr 2026
https://github.com/jsd115/tensorflow_bankfrauddetection
This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn
numpy pandas sklearn tensorflow
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https://github.com/salvatoreamaddio/pipeline-assessment
Pipeline Simulation
anaconda jupiter-notebook mysql mysql-database numpy pandas pandas-python python sparql sparql-query
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https://github.com/asut00/Machine-Learning-Program_42AI
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 27 Oct 2025
https://github.com/lintangwisesa/python_pillow_image_array
Convert 🖼 image to 📜 Numpy array using Pillow [Python]
Last synced: 07 May 2026
https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
Last synced: 15 Apr 2026
https://github.com/djdhairya/parkinson-s-disease-detection
datapreprocessing machine-learning modeling numpy pandas scikit-learn svm
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https://github.com/sa001gar/password-manager-on-the-top-of-streamlit
Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use
bcrypt gui-application mongodb numpy numpy-library pandas-dataframe pandas-library pandas-python password-generator password-manager pymongo python python3 streamlit-application streamlit-webapp urllib
Last synced: 15 Apr 2026
https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing
Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats
Last synced: 28 Jan 2026
https://github.com/shahaba83/airplane-ticket-cancellation
In this project, we try to predict the possibility of canceling the plane ticket by the buyer
datatime numpy pandas python scikit-learn seaborn
Last synced: 25 Feb 2026
https://github.com/ishinzoo/songrecommendation
This project is a machine learning-based system that recommends songs based on the user's detected emotions. The application uses facial expression recognition to determine the user's current emotional state and suggests songs that align with that emotion. This system can be particularly useful for personalized music streaming services, helping use
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https://github.com/massimilianovisintainer/diabetics-prediction-model
Machine learning model for diabetes prediction.
machine-learning numpy pandas python sklearn svm-classifier svm-model
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mlzoomcamp capstone project
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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/offthetab/lung_cancer_prediction
ML for Lung Cancer Prediction dataset from kaggle.
matplotlib numpy pandas python seaborn sklearn
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https://github.com/tsar123/neutral-single-nucleotide-polymorphisms-analysis
analysis of data on neutral single nucleotide polymorphisms
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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.
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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.
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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
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https://github.com/r-papso/pynet
Deep learning library implemented in Python
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https://github.com/bursasha/pandas-numpy-matplotlib-cavies-analysis
Complete statistical analysis of cavy lifetime dataset using Python, Pandas, NumPy, Matplotlib, and SciPy to explore, visualize, and infer the impact of bacilli infection on cavy lifetimes 🦫
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https://github.com/hansalemaos/all_against_all
Each item of a list against all others
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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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Last synced: 09 Feb 2026
https://github.com/harmanveer-2546/statistics-for-machine-learning
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Signal processing playground
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https://github.com/anuraganalog/random-test-case-generator
Generate Random Test Cases
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https://github.com/leftcoastnerdgirl/matplotlib_and_numpy
This project applies lessons using Matplotlib and Numpy
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https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
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https://github.com/isratafrin826/neural-networks-ann_using_mnist-dataset
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https://github.com/mouradhamzaoui/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
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https://github.com/bharatsharma07/ipl-analysis
This project provides insights into the IPL's historical data, helping to identify trends, player performance, and team strategies.
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Last synced: 16 Apr 2026